9.8 Shape and Structure from Perspective Effects, Vanishing Points, Detection

Barnard, S.T.[Stephen T.],
Interpreting Perspective Images,
AI(21), No. 4, November 1983, pp. 435-462.
Elsevier DOI BibRef 8311
Earlier:
Methods for Interpreting Perspective Images,
DARPA82(193-203). (SRI work) Use the perspective transform to generate the vanishing points from near parallel lines in an image and us these to determine the 3-D structure. There is a lot of going between different representations and inverting transforms to get the answer. BibRef

Barnard, S.T.[Stephen T.], Pentland, A.P.,
Three-Dimensional Shape from Line Drawings,
DARPA83(282-284). BibRef 8300
And: IJCAI83(1062-1064). BibRef

Barnard, S.T.[Stephen T.],
Choosing a Basis for Perceptual Space,
CVGIP(29), No. 1, January 1985, pp. 87-99.
Elsevier DOI BibRef 8501 CVWS84(225-230). Also in a DARPA proceedings. This is one step past
See also Methods for Interpreting Perspective Images. BibRef

Magee, M.J., and Aggarwal, J.K.,
Determining Vanishing Points from Perspective Images,
CVGIP(26), No. 2, May 1984, pp. 256-267.
Elsevier DOI Simpler method than used by
See also Methods for Interpreting Perspective Images. Hough Transform based. BibRef 8405

Quan, L., and Mohr, R.,
Determining Perspective Structures using Hierarchical Hough Transform,
PRL(9), 1989, pp. 279-286. Vanishing points. BibRef 8900

Barry, M.[Michele], Cyrluk, D.A.[David A.], Kapur, D.[Deepak], Mundy, J.L.[Joseph L.], and Nguyen, V.D.[Van-Duc],
A multi-level geometric reasoning system for vision,
AI(37), No. 1-3, December, 1988, pp. 291-332.
Elsevier DOI BibRef 8812

Cyrluk, D.A., Kapur, D.,
Reasoning About Nonlinear Inequality Constraints: A Multi-Level Approach,
DARPA89(904-915). BibRef 8900

Cyrluk, D.A., Kapur, D., Mundy, J.L.,
Algebraic Reasoning in View Consistency and Parameterized Model Matching Problems,
DARPA88(731-739). BibRef 8800

Cyrluk, D.A., Kapur, D., Mundy, J.L., and Nguyen, V.D.,
The Formation of Partial 3D Models from 2D Projections: An Application of Algebraic Reasoning,
DARPA87(798-809). BibRef 8700

Aloimonos, J.Y.[John Y.],
Perspective Approximations,
IVC(8), No. 3, August 1990, pp. 179-192.
Elsevier DOI length, angles, area in image related to 3D units. BibRef 9008

Kanatani, K.I.,
Computational Projective Geometry,
CVGIP(54), No. 3, November 1991, pp. 333-348.
Elsevier DOI Detailed discussion of projective geometry. BibRef 9111

Kanatani, K.I.,
Hypothesizing and Testing Geometric Properties of Image Data,
CVGIP(54), No. 3, November 1991, pp. 349-357.
Elsevier DOI BibRef 9111
Earlier:
Hypothesizing and Testing Geometric Attributes of Image Data,
ICCV90(370-373).
IEEE DOI BibRef

Haralick, R.M.[Robert M.],
Using Perspective Transformations in Scene Analysis,
CGIP(13), No. 3, July 1980, pp. 191-221.
Elsevier DOI Discussion of perspective. BibRef 8007

Haralick, R.M.[Robert M.],
Monocular Vision Using Inverse Perspective Projection Geometry: Analytic Relations,
CVPR89(370-378).
IEEE DOI Basic geometric properties. BibRef 8900

Lee, S.J.[Shih Jong], Haralick, R.M.[Robert M.], Zhang, M.C.[Ming Chua],
Understanding Objects with Curved Surfaces from a Single Perspective View of Boundaries,
AI(26), No. 2, May 1985, pp. 145-169.
Elsevier DOI BibRef 8505

Haralick, R.M.[Robert M.], Chu, Y.H.[Yu Hong], Watson, L.T.[Layne T.], Shapiro, L.G.[Linda G.],
Matching Wire Frame Objects from Their Two Dimensional Perspective Projections,
PR(17), No. 6, 1984, pp. 607-619.
Elsevier DOI BibRef 8400

Mulgaonkar, P.G.[Prasanna G.], Shapiro, L.G.[Linda G.], Haralick, R.M.[Robert M.],
Shape from Perspective: A Rule-Based Approach,
CVGIP(36), No. 2/3, November/December 1986, pp. 298-320.
Elsevier DOI BibRef 8611
Earlier: A1, A2 Only:
Hypothesis-Based Geometric Reasoning About Perspective Images,
CVWS85(11-18). The use of "synthetic data," based on his thesis, but similar to
See also Methods for Interpreting Perspective Images. BibRef

Mitsumoto, H., Tamura, S., Okazaki, K., Kajimi, N., and Fukui, Y.,
3-D Reconstruction Using Mirror Images Based on a Plane Symmetry Recovering Method,
PAMI(14), No. 9, September 1992, pp. 941-946.
IEEE DOI Start with the object an a mirrored view of the object, find correspondences and symmetries. BibRef 9209

Shakunaga, T., and Kaneko, H.,
Perspective Angle Transform: Principle of Shape from Angles,
IJCV(3), No. 3, September 1989, pp. 239-254.
Springer DOI BibRef 8909
Earlier:
Shape From Angles Under Perspective Projection,
ICCV88(671-678).
IEEE DOI BibRef
Earlier:
Perspective Angle Transform and Its Application to 3-D Configuration Recovery,
CVPR86(594-601). Pose Estimation. Similar technique to:
See also New Generalized Computational Framework for Finding Object Orientation Using Perspective Trihedral Angle Constraint, A. BibRef

Shakunaga, T.,
3-D Corridor Scene Modeling from a Single View under Natural Lighting Conditions,
PAMI(14), No. 2, February 1992, pp. 293-298.
IEEE DOI Perspective analysis, etc. BibRef 9202

Liou, S.P., Jain, R.C.,
Road Following Using Vanishing Points,
CVGIP( 39), No. 1, July 1987, pp. 116-130.
Elsevier DOI BibRef 8707
Earlier: CVPR86(41-46). Simple road following. BibRef

Straforini, M., Coelho, C., Campani, M., and Torre, V.,
The Recovery and Understanding of a Line Drawing from Indoor Scenes,
PAMI(14), No. 2, February 1992, pp. 298-303.
IEEE DOI BibRef 9202
And:
Using Geometrical Rules and a Priori Knowledge for the Understanding of Indoor Scenes,
Robust90(xx). BibRef
And: A2, A1, A3: BMVC90(xx-yy).
PDF File. 9009
(University of Genoa, Italy) BibRef

Olivieri, P.[Paolo], Gatti, M.[Maurizio], Straforini, M.[Marco], Torre, V.[Vincent],
A method for the 3D reconstruction of indoor scenes from monocular images,
ECCV92(696-700).
Springer DOI 9205
BibRef

Straforini, M., Coelho, C., Campani, M.,
Extraction of Vanishing Points from Images of Indoor and Outdoor Scenes,
IVC(11), No. 2, March 1993, pp. 91-99.
Elsevier DOI BibRef 9303

Belluta, P., Collini, G., Verri, A., and Torre, V.,
3D Visual Information from Vanishing Points,
3DWS89(41-49). BibRef 8900

Weiss, R.S., Nakatani, H., and Riseman, E.M.,
An Error Analysis for Surface Orientation from Vanishing Points,
PAMI(12), No. 12, December 1990, pp. 1179-1185.
IEEE DOI Shape, Three-Dimensional - Evaluation. Builds on
See also Methods for Interpreting Perspective Images. BibRef 9012

Collins, R.T., Weiss, R.S.,
Deriving Line and Surface Orientation by Statistical Methods,
DARPA90(433-438). BibRef 9000

Collins, R.T., Weiss, R.S.,
Vanishing Point Calculation as a Statistical Inference on the Unit Sphere,
ICCV90(400-403).
IEEE DOI BibRef 9000

Nakatani, H., and Kitahashi, T.,
Determination of Vanishing Point in Outdoor Scene,
IEICE(64), No. 5, 1981, pp0. 357-358. BibRef 8100

Nakatani, H., Kimura, S., Saito, O., and Kitahashi, T.,
Extraction of Vanishing Point and Its Application to Scene Analysis Based on Image Sequence,
ICPR80(370-372). BibRef 8000

Brillault-O'Mahony, B.,
New Method for Vanishing Point Detection,
CVGIP(54), No. 2, September 1991, pp. 289-300.
Elsevier DOI Hough (accumulator space) based technique. BibRef 9109

Brillault-O'Mahony, B.,
High Level 3D Structures from a Single View,
IVC(10), No. 7, September 1992, pp. 508-520.
Elsevier DOI BibRef 9209

Ferri, M., Mangili, F., Viano, G.,
Projective Pose Estimation of Linear and Quadratic Primitives in Monocular Computer Vision,
CVGIP(58), No. 1, July 1993, pp. 66-84.
DOI Link BibRef 9307

Lutton, E.[Evelyne], Maitre, H.[Henri], and Lopez Krahe, J.[Jaime],
Contribution to the Determination of Vanishing Points Using Hough Transform,
PAMI(16), No. 4, April 1994, pp. 430-438.
IEEE DOI Hough Transform.
See also Contribution to the Prediction of Performances of the Hough Transform. BibRef 9404

Lutton, E.[Evelyne],
3D Model based stereo reconstruction using coupled Markov random fields,
CAIP93(494-501).
Springer DOI 9309
BibRef

Zimmerman, G.L., Legge, G.E., Cavanagh, P.,
Pictorial Depth Cues: A New Slant,
JOSA-A(12), No. 1, January 1995, pp. 17-26. BibRef 9501

Chabbi, H.[Houda], Berger, M.O.[Marie Odile],
Using Projective Geometry to Recover Planar Surfaces in Stereovision,
PR(29), No. 4, April 1996, pp. 533-548.
Elsevier DOI BibRef 9604
Earlier:
Recovering Planar Surfaces by Stereovision Based on Projective Geometry,
CVPR93(649-650).
IEEE DOI Planar surfaces with 3 cameras. BibRef

Tai, A.T., Kittler, J.V., Petrou, M., Windeatt, T.,
Vanishing Point Detection,
IVC(11), No. 4, May 1993, pp. 240-245.
Elsevier DOI BibRef 9305
Earlier: BMVC92(109-118).
PDF File. BibRef

Palmer, P.L., Tai, A.T.,
An Optimised Vanishing Point Detector,
BMVC93(529-538).
PDF File. BibRef 9300

Palmer, P.L., Petrou, M., and Kittler, J.V.,
Accurate Line Parameters from an Optimising Hough Transform for Vanishing Point Detection,
ICCV93(529-533).
IEEE DOI BibRef 9300

McLean, G.F., Kotturi, D.,
Vanishing Point Detection by Line Clustering,
PAMI(17), No. 11, November 1995, pp. 1090-1095.
IEEE DOI BibRef 9511

Leung, J.C.[John C.], McLean, G.F.,
Vanishing Point Matching,
ICIP96(II: 305-308).
IEEE DOI BibRef 9600

Costall, A.[Alan],
Beyond Linear Perspective: A Cubist Manifesto for Visual Science,
IVC(11), No. 6, July-August 1993, pp. 334-341.
Elsevier DOI Gibson and some research challenge linear perspective as the foundation. BibRef 9307

Pla, F., Sanchiz, J.M., Marchant, J.A., Brivot, R.,
Building Perspective Models to Guide a Row Crop Navigation Vehicle,
IVC(15), No. 6, June 1997, pp. 465-473.
Elsevier DOI 9708
coplanar parallel lines converge. BibRef

Ghosh, B.K., and Loucks, E.P.,
A Perspective Theory for Motion and Shape Estimation in Machine Vision,
SIAM_JCO(33), No. 5, 1995, pp. 1530-1559.
WWW Link. BibRef 9500

Kobayashi, K., Mori, C.,
Relations Between the Coefficients in the Projective Transformation Equations and the Orientation Elements of a Photograph,
PhEngRS(63), No. 9, September 1997, pp. 1121-1127. 9709
BibRef

Liebowitz, D.[David], Criminisi, A.[Antonio], Zisserman, A.[Andrew],
Creating Architectural Models from Images,
EuroGraphics(18), No. 3, 1999, pp. xx-yy. BibRef 9900

Liebowitz, D.[David], Zisserman, A.[Andrew],
Metric Rectification for Perspective Images of Planes,
CVPR98(482-488).
IEEE DOI Archtiectural models. BibRef 9800

Criminisi, A.[Antonio], Reid, I.D., Zisserman, A.[Andrew],
Computing 3D Euclidean Distance from a single View,
TROUEL 2158/98, University of Oxford, 1998. BibRef 9800

Wirtz, B.[Brigitte], Maggioni, C.[Chistoph],
Method for detecting and estimating the spatial position of objects from a two-dimensional image,
US_Patent5,533,177, Jul 2, 1996
WWW Link. BibRef 9607

Bertozz, M.[Massimo], Broggi, A.[Alberto], Fascioli, A.[Alessandra],
Stereo Inverse Perspective Mapping: Theory And Applications,
IVC(16), No. 8, June 1998, pp. 585-590.
Elsevier DOI 9807
ARGO vehicle. BibRef

Huang, J.B.[Jen-Bin], Chen, Z.[Zen], Lin, J.Y.[Jenn-Yih],
A study on the dual vanishing point property,
PR(32), No. 12, December 1999, pp. 2029-2039.
Elsevier DOI derive 3D pose of a circle, camera calibration with 6 designed 3D lines. BibRef 9912

Kwon, J.S.[Jun-Sik], Hong, H.K.[Hyun-Ki], Choi, J.S.[Jong-Soo],
Obtaining a 3-D Orientation of Projective Textures Using a Morphological Method,
PR(29), No. 5, May 1996, pp. 725-732.
Elsevier DOI 9605
BibRef
Earlier:
Estimation of 3-D orientation of projective textures using morphological method,
ICIP94(I: 939-943).
IEEE DOI 9411
Vanishing Point approach. BibRef

Seago, S.W.[Sean W.],
Two-dimensional to three-dimensional image converting system,
US_Patent5,990,900, Nov 23, 1999
WWW Link. BibRef 9911

Ma, Y.[Yi], Soatto, S.[Stefano], Kosecká, J.[Jana], Sastry, S.[Shankar],
Euclidean Reconstruction and Reprojection Up to Subgroups,
IJCV(38), No. 3, July-August 2000, pp. 219-229.
DOI Link
PDF File. 0006
BibRef
Earlier: ICCV99(773-780).
IEEE DOI Award, Marr Prize. What can be computed for calibration, etc. What view points give valid Euclidean reprojections. BibRef

Pizlo, Z.[Zygmunt], Loubier, K.[Kirk],
Recognition of a solid shape from its single perspective image obtained by a calibrated camera,
PR(33), No. 10, October 2000, pp. 1675-1681.
Elsevier DOI 0006
BibRef
And: Correction: PR(34), No. 1, January 2001, pp. 185.
Elsevier DOI 0010
BibRef

Schaffalitzky, F., Zisserman, A.,
Planar grouping for automatic detection of vanishing lines and points,
IVC(18), No. 9, June 2000, pp. 647-658.
Elsevier DOI 0004
equally spaced coplanar parallel lines; a planar pattern obtained by repeating some element by translation in the plane; and a set of elements arranged in a regular planar grid. BibRef

Baltzakis, H.G., Trahanias, P.E.,
The VPLF method for vanishing point computation,
IVC(19), No. 6, April 2001, pp. 393-400.
Elsevier DOI 0105
Likelihood function. BibRef

Gallagher, A.C.[Andrew C.],
A ground truth based vanishing point detection algorithm,
PR(35), No. 7, July 2002, pp. 1527-1543.
Elsevier DOI 0204
Bayesian probability based detection. BibRef

Gómez, F., Hurtado, F., Sellarès, J.A., Toussaint, G.,
Nice Perspective Projections,
JVCIR(12), No. 4, December 2001, pp. 387-400.
DOI Link 0204
BibRef

Diaz-Banez, J.M., Hurtado, F., Lopez, M.A., Sellares, J.A.,
Optimal projections onto grids and finite resolution images,
JVCIR(16), No. 3, June 2005, pp. 233-249.
Elsevier DOI 0711
Projections; Finite resolution images; Optimal images BibRef

Rother, C.[Carsten],
A new approach to vanishing point detection in architectural environments,
IVC(20), No. 9-10, August 2002, pp. 647-655.
Elsevier DOI 0208
BibRef
Earlier:
A New Approach for Vanishing Point Detection in Architectural Environments,
BMVC00(xx-yy).
PDF File. 0009
The 3 orthogonal lines. BibRef

Gallagher, A.C.[Andrew C.],
Method of estimating image format and orientation based upon vanishing point location,
US_Patent6,591,005, Jul 8, 2003
WWW Link. BibRef 0307

Bosse, M.[Michael], Rikoski, R.[Richard], Leonard, J.[John], Teller, S.[Seth],
Vanishing points and three-dimensional lines from omni-directional video,
VC(19), No. 6, October 2003, pp. 417-430.
Springer DOI 0310
BibRef
Earlier: ICIP02(III: 513-516).
IEEE DOI 0210
BibRef

Almansa, A.[Andres], Desolneux, A.[Agnes], Vamech, S.[Sebastien],
Vanishing point detection without any a priori information,
PAMI(25), No. 4, April 2003, pp. 502-507.
IEEE Abstract. 0304
Use principles of grouping to find lines and vanishing points. Use grouping technique of:
See also grouping principle and four applications, A. BibRef

Almansa, A.[Andres], Desolneux, A.[Agnes], Vamech, S.[Sebastien],
Vanishing Points are Meaningful Gestalts,
TRCMLA-2001-24, CMLA, ENS, Cachan, France, 2000. BibRef 0001

Almansa, A.[Andres],
Echantillonnage, Interpolation et Detection. Applications en Imagrie Satellitaire,
Ph.D.Thesis, ENS Cachan, France, December 2002. BibRef 0212

Wang, Y.M.M.[Yong-Mei Michelle], Zhang, H.J.[Hong-Jiang],
Detecting image orientation based on low-level visual content,
CVIU(93), No. 3, March 2004, pp. 328-346.
Elsevier DOI 0402
based on luminance and chrominance. BibRef

Hong, W.[Wei], Yang, A.Y.[Allen Yang], Huang, K.[Kun], Ma, Y.[Yi],
On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image,
IJCV(60), No. 3, December 2004, pp. 241-265.
DOI Link 0409
Knowledge of 3-D structural invariants, i.e. symmetries, help the task of reconstruction and recovery of the camera pose. Thus buildings are easier than non-symmetric structures. BibRef

Yang, A.Y.[Allen Y.], Huang, K.[Kun], Rao, S.[Shankar], Hong, W.[Wei], Ma, Y.[Yi],
Symmetry-based 3-D reconstruction from perspective images,
CVIU(99), No. 2, August 2005, pp. 210-240.
Elsevier DOI 0506
2D symmetric patterns from calibrated images. BibRef

Hong, W.[Wei], Ma, Y.[Yi], Yu, Y.Z.[Yi-Zhou],
Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features,
ECCV04(Vol III: 533-545).
Springer DOI 0405
No feature points, but can use symmetry. BibRef

Favaro, P., Duci, A., Ma, Y.[Yi], Soatto, S.,
On exploiting occlusions in multiple-view geometry,
ICCV03(479-486).
IEEE DOI 0311
BibRef

Martins, A.T.[Andre T.], Aguiar, P.M.Q.[Pedro M.Q.], Figueiredo, M.A.T.[Mario A.T.],
Orientation in Manhattan: Equiprojective Classes and Sequential Estimation,
PAMI(27), No. 5, May 2005, pp. 822-826.
IEEE Abstract. 0501
BibRef
Earlier:
Navigating in Manhattan: 3D orientation from video without correspondences,
ICIP03(I: 285-288).
IEEE DOI 0312
The scene property exploited by our method is that many edges are oriented along three orthogonal directions. BibRef

Papaodysseus, C., Exarhos, M., Panagopoulos, T., Triantafillou, C., Roussopoulos, G., Pantazi, A., Loumos, V., Fragoulis, D.K., Doumas, C.,
Identification of Geometrical Shapes in Paintings and its Application to Demonstrate the Foundations of Geometry in 1650 B.C.,
IP(14), No. 7, July 2005, pp. 862-873.
IEEE DOI 0506
BibRef

Papaodysseus, C., Fragoulis, D.K., Panagopoulos, M., Panagopoulos, T., Rousopoulos, P., Exarhos, M., Skembris, A.,
Determination of the Method of Construction of 1650 B.C. Wall Paintings,
PAMI(28), No. 9, September 2006, pp. 1361-1371.
IEEE DOI 0608
BibRef

Papaodysseus, C., Exarhos, M., Panagopoulos, M., Rousopoulos, P., Triantafillou, C., Panagopoulos, T.,
Image and Pattern Analysis of 1650 B.C. Wall Paintings and Reconstruction,
SMC-A(38), No. 4, July 2008, pp. 958-965.
IEEE DOI 0806
BibRef

Rousopoulos, P., Arabadjis, D., Panagopoulos, M., Papaodysseus, C., Papazoglou, E.,
Determination of the method of drawing of prehistoric wall-paintings via original methods of pattern recognition and image analysis,
ICIP09(65-68).
IEEE DOI 0911
BibRef

Košecká, J.[Jana], Zhang, W.[Wei],
Extraction, matching, and pose recovery based on dominant rectangular structures,
CVIU(100), No. 3, December 2005, pp. 274-293.
Elsevier DOI 0512
BibRef
Earlier: A2, A1: HLK03(83-91).
IEEE Abstract. 0402
BibRef

Kosecká, J., Zhang, W.,
Video Compass,
ECCV02(IV: 476 ff.).
Springer DOI 0205
Assume dominant orthogonal lines. BibRef

Seo, K.S.[Kyung-Seok], Lee, J.H.[Jung-Hwa], Choi, H.M.[Heung-Moon],
An efficient detection of vanishing points using inverted coordinates image space,
PRL(27), No. 2, 15 January 2006, pp. 102-108.
Elsevier DOI 0512
Accumlator approach. BibRef

Gumerov, N.A.[Nail A.], Zandifar, A.[Ali], Duraiswami, R.[Ramani], Davis, L.S.[Larry S.],
3D Structure Recovery and Unwarping of Surfaces Applicable to Planes,
IJCV(66), No. 3, March 2006, pp. 261-281.
Springer DOI 0604
BibRef
Earlier:
Structure of Applicable Surfaces from Single Views,
ECCV04(Vol III: 482-496).
Springer DOI 0405
The applicable surface has length and area conserved when deformed (e.g. sheet of paper). Allows recovery when original shape is known. BibRef

Qi, F.[Fei], Luo, Y.P.[Yu-Pin], Hu, D.C.[Dong-Cheng],
Recognition of perspectively distorted planar grids,
PRL(27), No. 14, 15 October 2006, pp. 1725-1731.
Elsevier DOI 0609
Grid; Voronoi cell; Gaussian mixture model; Perspective transformation BibRef

Jiang, X.D.[Xu-Dong],
Extracting image orientation feature by using integration operator,
PR(40), No. 2, February 2007, pp. 705-717.
Elsevier DOI 0611
Feature extraction; Image recognition; Gradient operator; Local orientation estimation; Orientation bias; Scale selection BibRef

Gardel Kurka, P.R., Rudek, M.,
Three-Dimensional Volume and Position Recovering Using a Virtual Reference Box,
IP(16), No. 2, February 2007, pp. 573-576.
IEEE DOI 0702
Use 2 calibrated cameras. virtual bounding box from verticies and vanishing points. BibRef

Steele, R.M.[R. Matt], Jaynes, C.O.[Christopher O.],
Center-of-mass variation under projective transformation,
PRL(28), No. 15, 1 November 2007, pp. 1915-1925.
Elsevier DOI 0711
Feature detection; Geometric transformation invariance; Camera calibration BibRef

Wang, G.H.[Guang-Hui], Tsui, H.T.[Hung-Tat], Hu, Z.Y.[Zhan-Yi],
Reconstruction of structured scenes from two uncalibrated images,
PRL(26), No. 2, 15 January 2005, pp. 207-220.
Elsevier DOI 0501
Epipolar geometry from 3 orthogonal vanishing points. BibRef

Wang, G.H.[Guang-Hui], Tsui, H.T.[Hung-Tat], Wu, Q.M.J.[Q.M. Jonathan],
What can we learn about the scene structure from three orthogonal vanishing points in images,
PRL(30), No. 3, 1 February 2009, pp. 192-202.
Elsevier DOI 0804
3D reconstruction; Structured scene; Vanishing point; Visual metrology BibRef

Havasi, L.[László], Szlavik, Z., Szirányi, T.[Tamás],
The Use of Vanishing Point for the Classification of Reflections From Foreground Mask in Videos,
IP(18), No. 6, June 2009, pp. 1366-1372.
IEEE DOI 0905
BibRef

Havasi, L.[László], Szirányi, T.[Tamás],
Use of Motion Statistics for Vanishing Point Estimation in Camera-Mirror Scenes,
ICIP06(2993-2996).
IEEE DOI 0610
BibRef
And:
Extraction of Horizontal Vanishing Line Using Shapes and Statistical Error Propagation,
PCV06(xx-yy).
PDF File. 0609
BibRef

Mohan, S., Murali, S.,
Interactive system for image based 3D modelling and rendering from single view perspective images,
IJCVR(1), No. 1, 2009, pp. 71-88.
DOI Link 0911
Based on perspective distortions of circles. BibRef

Shao, J.[Jie], Zhou, S.K., Chellappa, R.,
Robust Height Estimation of Moving Objects From Uncalibrated Videos,
IP(19), No. 8, August 2010, pp. 2221-2232.
IEEE DOI 1008
Vanishing line and vertical point in the scene from tracking objects on ground plane. BibRef

Nedovic, V.[Vladimir], Smeulders, A.W.M.[Arnold W.M.], Redert, A.[Andre], Geusebroek, J.M.[Jan-Mark],
Stages as Models of Scene Geometry,
PAMI(32), No. 9, September 2010, pp. 1673-1687.
IEEE DOI 1008
BibRef
Earlier:
Depth Estimation Via Stage Classification,
3DTV08(77-80).
IEEE DOI 0805
BibRef
Earlier:
Depth Information by Stage Classification,
ICCV07(1-8).
IEEE DOI 0710
Knowledge Based Vision. Account for scene structure in reconstructions. 15 typical scene geometries (Stages) that correspond to many broadcast video frames. Different context for different arrangements. BibRef

Wokes, D.S.[David S.], Palmer, P.L.,
Perspective Reconstruction of a Spheroid from an Image Plane Ellipse,
IJCV(90), No. 3, December 2010, pp. 369-379.
WWW Link. 1011
BibRef

Kim, J.S.[Jun-Sik], Kweon, I.S.[In So],
Metric reconstruction of planes utilizing off-the-plane features,
CVIU(115), No. 1, January 2011, pp. 1-7.
Elsevier DOI 1011
Metric invariants; Conic dual to the circular points; Vanishing points; Range of conics BibRef

Zhang, Y.[Yun], Chu, H.[Henry],
Ray Projection for Recovering Projective Transformations and Illumination Changes,
PAMI(33), No. 3, March 2011, pp. 446-458.
IEEE DOI 1102
BibRef
Earlier:
Inverse-polar ray projection for recovering projective transformations,
CVPR08(1-7).
IEEE DOI 0806
BibRef

Simon, G.[Gilles], Berger, M.O.[Marie-Odile],
Interactive building and augmentation of piecewise planar environments using the intersection lines,
VC(27), No. 9, September 2011, pp. 827-841.
WWW Link. 1109
BibRef
Earlier:
Detection of the intersection lines in multiplanar environments: Application to real-time estimation of the camera-scene geometry,
ICPR08(1-4).
IEEE DOI 0812
Plane intersecion lines. BibRef

Nieto, M.[Marcos], Salgado, L.[Luis],
Simultaneous estimation of vanishing points and their converging lines using the EM algorithm,
PRL(32), No. 14, 15 October 2011, pp. 1691-1700.
Elsevier DOI 1110
BibRef
Earlier:
Non-linear optimization for robust estimation of vanishing points,
ICIP10(1885-1888).
IEEE DOI 1009
BibRef
And:
Plane rectification through robust vanishing point tracking using the Expectation-Maximization algorithm,
ICIP10(1901-1904).
IEEE DOI 1009
BibRef
Earlier:
Real-Time Vanishing Point Estimation in Road Sequences Using Adaptive Steerable Filter Banks,
ACIVS07(840-848).
Springer DOI 0708

See also Automatic video mosaicing for surveillance using vanishing points. Vanishing points; Expectation-Maximisation; Projective plane; Mixture models; Non-linear optimisation BibRef

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A condensed semantics for qualitative spatial reasoning about oriented straight line segments,
AI(175), No. 16-17, October-November 2009, pp. 2099-2127.
Elsevier DOI 1110
Qualitative spatial reasoning; Relation algebra; Affine geometry BibRef

Mossakowski, T.[Till], Moratz, R.[Reinhard],
Qualitative reasoning about relative direction of oriented points,
AI(180-181), No. 1, April 2012, pp. 34-45.
Elsevier DOI 1202
Qualitative spatial reasoning; Constraint-based reasoning; Qualitative simulation BibRef

Zhang, Y.J.[Yong-Jun], Hu, B.H.[Bing-Hua], Zhang, J.Q.[Jian-Qing],
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PandRS(66), No. 5, September 2011, pp. 700-707.
Elsevier DOI 1110
Multi-features; Straight line; Circular curve; Relative orientation; Precision analysis BibRef

Moghadam, P., Starzyk, J.A., Wijesoma, W.S.,
Fast Vanishing-Point Detection in Unstructured Environments,
IP(21), No. 1, January 2012, pp. 425-430.
IEEE DOI 1112
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Ebrahimpour, R., Rasoolinezhad, R., Hajiabolhasani, Z., Ebrahimi, M.,
Vanishing point detection in corridors: using hough transform and K-means clustering,
IET-CV(6), No. 1, 2012, pp. 40-51.
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Chinellato, E., Morales, A., Fisher, R.B., del Pobil, A.P.,
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SMC-C(35), No. 1, February 2005, pp. 30-41.
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Chinellato, E., Grzyb, B.J., del Pobil, A.P.,
Pose Estimation Through Cue Integration: A Neuroscience-Inspired Approach,
SMC-B(42), No. 2, April 2012, pp. 530-538.
IEEE DOI 1204
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Jung, C.[Chanho], Kim, C.[Changick],
Real-time estimation of 3D scene geometry from a single image,
PR(45), No. 9, September 2012, pp. 3256-3269.
Elsevier DOI 1206
3D scene geometry; Geometric scene categorization; Depth information; Monocular vision; Machine learning BibRef

Lee, H.[Hyukzae], Jung, C.[Chanho], Kim, C.[Changick],
Depth map estimation based on geometric scene categorization,
FCV13(170-173).
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Choi, J.[Jiwon], Kim, W.J.[Won-Jun], Kong, H.[Haejung], Kim, C.[Changick],
Real-time vanishing point detection using the Local Dominant Orientation Signature,
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Frosio, I., Alzati, A., Bertolini, M., Turrini, C., Borghese, N.A.,
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PR(45), No. 12, December 2012, pp. 4169-4181.
Elsevier DOI 1208
Conics; Multi-view geometry; Pose estimate; Coplanar pairs of lines; Critical configurations BibRef

Kong, H., Sarma, S.E., Tang, F.,
Generalizing Laplacian of Gaussian Filters for Vanishing-Point Detection,
ITS(14), No. 1, March 2013, pp. 408-418.
IEEE DOI 1303
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Bui, T.H.[Trung Hieu], Nobuyama, E.[Eitaku], Saitoh, T.[Takeshi],
A Texture-Based Local Soft Voting Method for Vanishing Point Detection from a Single Road Image,
IEICE(E96-D), No. 3, March 2013, pp. 690-698.
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Bui, T.H.[Trung Hieu], Saitoh, T.[Takeshi], Nobuyama, E.[Eitaku],
Vanishing Point-Based Road Detection for General Road Images,
IEICE(E97-D), No. 3, March 2014, pp. 618-621.
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Calderero, F.[Felipe], Caselles, V.[Vicent],
Recovering Relative Depth from Low-Level Features Without Explicit T-junction Detection and Interpretation,
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Lee, H.J.[Hyun-Joon], Shechtman, E.[Eli], Wang, J.[Jue], Lee, S.Y.[Seung-Yong],
Automatic Upright Adjustment of Photographs With Robust Camera Calibration,
PAMI(36), No. 5, May 2014, pp. 833-844.
IEEE DOI 1405
BibRef
Earlier:
Automatic upright adjustment of photographs,
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IEEE DOI 1208
Buildings BibRef

Bayer, T.[Tomas],
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Bayer, T.[Tomas],
Advanced methods for the estimation of an unknown projection from a map,
GeoInfo(20), No. 2, April 2016, pp. 241-284.
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Cheda, D.[Diego],
Monocular Depth Cues in Computer Vision Applications,
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Guo, Y.[Yang],
An Approach to the Vanishing Line Identification Based on Normalized Barycentric Coordinates,
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Springer DOI 1410
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Automatic upright orientation and good view recognition for 3D man-made models,
PR(45), No. 4, 2012, pp. 1524-1530.
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Upright orientation recognition BibRef

Lezama, J.[Jose], Morel, J.M.[Jean-Michel], Randall, G.[Gregory], von Gioi, R.G.[Rafael Grompone],
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PAMI(37), No. 3, March 2015, pp. 499-512.
IEEE DOI 1502
Detectors BibRef
Earlier: A1, A4, A3, A2:
Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains,
CVPR14(509-515)
IEEE DOI 1409
2d point alignments;line-to-point mapping;vanishing point detection BibRef

Lezama, J.[José], Randall, G.[Gregory], von Gioi, R.G.[Rafael Grompone],
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Lezama, J.[José], Randall, G.[Gregory], Morel, J.M.[Jean-Michel], von Gioi, R.G.[Rafael Grompone],
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Lou, Z., Gevers, T., Hu, N.,
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Andaló, F.A.[Fernanda A.], Taubin, G.[Gabriel], Goldenstein, S.[Siome],
Efficient height measurements in single images based on the detection of vanishing points,
CVIU(138), No. 1, 2015, pp. 51-60.
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Photogrammetry BibRef

Haines, O.[Osian], Calway, A.D.[Andrew D.],
Recognising Planes in a Single Image,
PAMI(37), No. 9, September 2015, pp. 1849-1861.
IEEE DOI 1508
BibRef
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BMVC12(31).
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Haines, O.[Osian], Calway, A.[Andrew],
Interpreting the Structure of Single Images by Learning from Examples,
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Ding, W.L.[Wei-Li], Li, Y.[Yong],
Efficient vanishing point detection method in complex urban road environments,
IET-CV(9), No. 4, 2015, pp. 549-558.
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feature extraction BibRef

Wu, J., Lin, W., Shi, G., Zhang, Y., Dong, W., Chen, Z.,
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IEEE DOI 1509
Correlation BibRef

Li, S.Z.[Sheng-Zhe], Nguyen, V.[Van], Ma, M.J.[Ming-Jie], Jin, C.B.[Cheng-Bin], Do, T.[Trung], Kim, H.[Hakil],
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Romero-Manchado, A.[Antonio], Rojas-Sola, J.I.[José Ignacio],
Application of gradient-based edge detectors to determine vanishing points in monoscopic images: Comparative study,
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Vanishing point BibRef

Zhang, L.[Lilian], Lu, H.M.[Hui-Min], Hu, X.P.[Xiao-Ping], Koch, R.[Reinhard],
Vanishing Point Estimation and Line Classification in a Manhattan World with a Unifying Camera Model,
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Shi, J., Wang, J., Fu, F.,
Fast and Robust Vanishing Point Detection for Unstructured Road Following,
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IEEE DOI 1604
Accuracy BibRef

Pan, X.[Xun], Si, W.[Wa], Ogai, H.[Harutoshi],
Fast Vanishing Point Estimation Based on Particle Swarm Optimization,
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Briales, J.[Jesus], Gonzalez-Jimenez, J.[Javier],
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Desolneux, A.[Agnès], Doré, F.[Fanny],
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Fan, X., Shin, H.,
Road vanishing point detection using weber adaptive local filter and salient-block-wise weighted soft voting,
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Cao, Z.Q.[Zhi-Qiang], Liu, X.L.[Xi-Long], Gu, N.[Nong], Nahavandi, S.[Saeid], Xu, D.[De], Zhou, C.[Chao], Tan, M.[Min],
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SMCS(46), No. 11, November 2016, pp. 1589-1597.
IEEE DOI 1609
feature extraction BibRef

Prasad, D.K.[Dilip K.], Rajan, D.[Deepu], Rachmawati, L.[Lily], Rajabally, E.[Eshan], Quek, C.[Chai],
MuSCoWERT: multi-scale consistence of weighted edge Radon transform for horizon detection in maritime images,
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Ren, Y.Z.[Yu-Zhuo], Chen, C.[Chen], Li, S.W.[Shang-Wen], Kuo, C.C.J.[C.C. Jay],
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Outdoor layout estimation BibRef

Han, L.[Lei], Huang, C.[Chenrong], Zheng, S.N.[Sheng-Nan], Zhang, Z.[Zhen], Xu, L.Z.[Li-Zhong],
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Springer DOI 1702
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Zhou, Z., Farhat, F., Wang, J.Z.,
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval,
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IEEE DOI 1712
Cameras, Image edge detection, Image retrieval, Image segmentation, Photography, Visualization, vanishing point BibRef

Straub, J.[Julian], Freifeld, O.[Oren], Rosman, G.[Guy], Leonard, J.J.[John J.], Fisher, J.W.[John W.],
The Manhattan Frame Model: Manhattan World Inference in the Space of Surface Normals,
PAMI(40), No. 1, January 2018, pp. 235-249.
IEEE DOI 1712
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Earlier: A1, A3, A2, A4, A5:
A Mixture of Manhattan Frames: Beyond the Manhattan World,
CVPR14(3770-3777)
IEEE DOI 1409
Adaptation models, Cameras, Estimation, Inference algorithms, Layout, Surface reconstruction, world representation. Bayesian Model BibRef

Wang, E.[Ende], Sun, A.[Anan], Li, Y.[Yong], Hou, X.[Xukui], Zhu, Y.[Yalong],
Fast vanishing point detection method based on road border region estimation,
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Zhang, Y., Su, Y., Yang, J., Ponce, J., Kong, H.,
When Dijkstra Meets Vanishing Point: A Stereo Vision Approach for Road Detection,
IP(27), No. 5, May 2018, pp. 2176-2188.
IEEE DOI 1804
edge detection, feature extraction, graph theory, image colour analysis, image segmentation, image texture, vanishing point detection BibRef

Su, Y., Zhang, Y., Lu, T., Yang, J., Kong, H.,
Vanishing Point Constrained Lane Detection With a Stereo Camera,
ITS(19), No. 8, August 2018, pp. 2739-2744.
IEEE DOI 1808
Roads, Cameras, Robustness, Image segmentation, Image color analysis, Stereo vision, lane detection, vanishing point, shortest-path search BibRef

Huang, Z.S.[Zeng-Shi], Gu, N.J.[Nai-Jie], Lin, C.W.[Chuan-Wen], Shen, J.[Jie], Chang, J.[Jie],
Real time vanishing points detection on smartphones under Manhattan world assumption,
PRL(115), 2018, pp. 117-127.
Elsevier DOI 1812
Smartphones, Real-time vanishing points detection, Energy efficient applications BibRef

Choi, H.S.[Han-Soo], An, K.[Keunhoi], Kang, M.[Myungjoo],
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Elsevier DOI 1912
Vanishing point detection, Deep learning, Naver Street View dataset, ResNet, Regression BibRef

Hwang, H.J., Yoon, G., Yoon, S.M.,
Optimized Clustering Scheme-Based Robust Vanishing Point Detection,
ITS(21), No. 1, January 2020, pp. 199-208.
IEEE DOI 2001
Image segmentation, Feature extraction, Noise measurement, Cameras, Image edge detection, Estimation, optimized minimum spanning tree based clustering BibRef

Ahmad, T.[Touqeer], Bebis, G.[George], Nicolescu, M.[Monica], Nefian, A.[Ara], Fong, T.[Terry],
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CVIU(191), 2020, pp. 102879.
Elsevier DOI 2002
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Wang, P.[Ping], Xu, G.[Guili], Cheng, Y.[Yuehua],
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CVIU(191), 2020, pp. 102711.
Elsevier DOI 2002
Perspective-three-line problem (P3L), Absolute position and attitude, Pose estimation, Computer vision BibRef

López-Martinez, A.[Alan], Cuevas, F.J.[Francisco J.],
Vanishing Point Detection Using the Teaching Learning-Based Optimisation Algorithm,
IET-IPR(14), No. 11, September 2020, pp. 2487-2494.
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Tonini, A.[Andrea], Redweik, P.[Paula], Painho, M.[Marco], Castelli, M.[Mauro],
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Thatavarthy, A.S.[Ayyappa Swamy], Sharma, T.[Tanu], Krishna, K.M.[K. Madhava],
A new geometric approach for three view line reconstruction and motion estimation in Manhattan Scenes,
CRV21(135-141)
IEEE DOI 2108
Geometry, Image segmentation, Motion estimation, Robot kinematics, Motion segmentation, factor graph optimization BibRef

Ganbold, U.[Uuganbayar], Sato, J.Y.[Jun-Ya], Akashi, T.[Takuya],
Coarse-to-Fine Evolutionary Method for Fast Horizon Detection in Maritime Images,
IEICE(E104-D), No. 12, December 2021, pp. 2226-2236.
WWW Link. 2112
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Li, H.A.[Hao-Ang], Zhao, J.[Ji], Bazin, J.C.[Jean-Charles], Liu, Y.H.[Yun-Hui],
Quasi-Globally Optimal and Near/True Real-Time Vanishing Point Estimation in Manhattan World,
PAMI(44), No. 3, March 2022, pp. 1503-1518.
IEEE DOI 2202
Estimation, Real-time systems, Cameras, Cost function, Acceleration, Machine learning, Vanishing point, Manhattan world, sampling, real-time BibRef

Li, H.A.[Hao-Ang], Zhao, J.[Ji], Bazin, J.C.[Jean-Charles], Chen, W.[Wen], Liu, Z.[Zhe], Liu, Y.H.[Yun-Hui],
Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World,
ICCV19(1646-1654)
IEEE DOI 2004
calibration, cameras, image reconstruction, image sensors, object detection, optimisation, pattern clustering, Uncertainty BibRef

Li, H.A.[Hao-Ang], Kim, P.[Pyojin], Zhao, J.[Ji], Joo, K.[Kyungdon], Cai, Z.P.[Zhi-Peng], Liu, Z.[Zhe], Liu, Y.H.[Yun-Hui],
Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World,
ECCV20(XXII:153-169).
Springer DOI 2011
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Bazin, J.C.[Jean-Charles], Seo, Y.D.[Yong-Duek], Demonceaux, C.[Cedric], Vasseur, P.[Pascal], Ikeuchi, K.[Katsushi], Kweon, I.[Inso], Pollefeys, M.[Marc],
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Liu, Y.L.[Yin-Long], Chen, G.[Guang], Knoll, A.[Alois],
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PAMI(44), No. 4, April 2022, pp. 1949-1962.
IEEE DOI 2203
Estimation, Robustness, Optimization, Clustering algorithms, Inference algorithms, Search problems, Global optimization, imaging geometry BibRef

Feng, Y.C.[Ying-Chao], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Li, J.[Jihao], Niu, R.G.[Rui-Gang], Gao, X.[Xin], Fu, K.[Kun],
Height aware understanding of remote sensing images based on cross-task interaction,
PandRS(195), 2023, pp. 233-249.
Elsevier DOI 2301
3D scene perception, Height estimation, Semantic segmentation, Multi-task learning, Remote sensing, Deep neural network BibRef

Lhuillier, M.[Maxime],
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Vertical direction, Photogrammetry, Virtual reality, Hough transform, Principal component analysis, 360 camera BibRef

Zhang, X.[Xinnai], Sun, J.Y.[Jiu-Yun], Gao, J.X.[Jing-Xiang], Yu, K.[Kaijie], Zhang, S.[Sheng],
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Maset, E.[Eleonora], Fusiello, A.[Andrea],
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Photographic scale, Ground Sampling Distance, Oblique images BibRef

Wang, Y.K.[Yu-Kun], Gu, S.[Shuo], Liu, Y.[Yinbo], Kong, H.[Hui],
Semi-supervised vanishing point detection with contrastive learning,
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Vanishing point detection, Semi-supervised learning, Contrastive learning BibRef

Rydell, F.[Felix], Shehu, E.[Elima], Torres, A.[Angélica],
Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences,
ICCV23(3725-3734)
IEEE DOI 2401
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Wang, W.[Wei], Lu, P.[Peng], Peng, X.J.[Xu-Jun], Yin, W.[Wang], Zhao, Z.R.[Zhao-Ran],
RLSCNet: A Residual Line-Shaped Convolutional Network for Vanishing Point Detection,
MMMod23(II: 103-114).
Springer DOI 2304
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Tong, X.[Xin], Ying, X.H.[Xiang-Hua], Shi, Y.J.[Yong-Jie], Wang, R.B.[Rui-Bin], Yang, J.[Jinfa],
Transformer Based Line Segment Classifier with Image Context for Real-Time Vanishing Point Detection in Manhattan World,
CVPR22(6083-6092)
IEEE DOI 2210
Image segmentation, Computer architecture, Predictive models, Transformers, Real-time systems, Physics-based vision and shape-from-X BibRef

Lin, Y.C.[Yan-Cong], Wiersma, R.[Ruben], Pintea, S.L.[Silvia L.], Hildebrandt, K.[Klaus], Eisemann, E.[Elmar], van Gemert, J.C.[Jan C.],
Deep vanishing point detection: Geometric priors make dataset variations vanish,
CVPR22(6093-6103)
IEEE DOI 2210
Knowledge engineering, Deep learning, Adaptation models, Computational modeling, Transforms, Switches, Robustness, grouping and shape analysis BibRef

Li, H.A.[Hao-Ang], Chen, K.[Kai], Kim, P.[Pyojin], Yoon, K.J.[Kuk-Jin], Liu, Z.[Zhe], Joo, K.[Kyungdon], Liu, Y.H.[Yun-Hui],
Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation,
ICCV21(5641-5650)
IEEE DOI 2203
Uncertainty, Computer network reliability, Fitting, Estimation, Mixture models, Reliability, Stereo, Vision for robotics and autonomous vehicles BibRef

Wu, J.P.[Jian-Ping], Zhang, L.[Liang], Liu, Y.[Ye], Chen, K.[Ke],
Real-time Vanishing Point Detector Integrating Under-parameterized RANSAC and Hough Transform,
ICCV21(3712-3721)
IEEE DOI 2203
Image edge detection, Neural networks, Transforms, Detectors, Benchmark testing, Real-time systems, Scene analysis and understanding BibRef

Liu, S.[Shichen], Zhou, Y.C.[Yi-Chao], Zhao, Y.J.[Ya-Jie],
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers,
ICCV21(12839-12848)
IEEE DOI 2203
Simultaneous localization and mapping, Roads, Pose estimation, Neural networks, Detectors, Cameras, BibRef

Colombo, C.[Carlo], Fanfani, M.[Marco],
A closed form solution for viewing graph construction in uncalibrated vision,
TradiCV21(2551-2558)
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Geometry, Closed-form solutions, Cameras, Synchronization BibRef

Yu, F.[Frank], Salzmann, M.[Mathieu], Fua, P.[Pascal], Rhodin, H.[Helge],
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers,
CVPR21(9060-9069)
IEEE DOI 2111

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Meza, J.[Jhacson], Romero, L.A.[Lenny A.], Marrugo, A.G.[Andrés G.],
MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation,
LXCV21(1282-1290)
IEEE DOI 2109
Code, Pose.
WWW Link. Circles for markers. Deep learning, Ultrasonic imaging, Target tracking, Pose estimation, Lighting BibRef

Settergren, R.,
Resection and Monte Carlo Covariance From Vanishing Points for Images Of Unknown Origin,
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Christie, G., Munoz Abujder, R.R.R., Foster, K., Hagstrom, S., Hager, G.D., Brown, M.Z.,
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CVPR20(14500-14508)
IEEE DOI 2008
Task analysis, Semantics, Image segmentation, Laser radar, Predictive models, Satellites, Optical imaging BibRef

Zeng, H.Y.[Hua-Yi], Joseph, K.[Kevin], Vest, A.[Adam], Furukawa, Y.[Yasutaka],
Bundle Pooling for Polygonal Architecture Segmentation Problem,
CVPR20(747-756)
IEEE DOI 2008
Shape, Image segmentation, Solid modeling, Computer architecture, Measurement, Buildings BibRef

Wang, R., Geraghty, D., Matzen, K., Szeliski, R., Frahm, J.,
VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines,
CVPR20(686-695)
IEEE DOI 2008
Estimation, Training, Neural networks, Task analysis, Geometry, Machine learning BibRef

Zhao, Y., Huang, Z., Li, T., Chen, W., Legendre, C., Ren, X., Shapiro, A., Li, H.,
Learning Perspective Undistortion of Portraits,
ICCV19(7848-7858)
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face recognition, image reconstruction, learning (artificial intelligence), neural nets, solid modelling, Solid modeling BibRef

Shi, Y., Zhang, D., Wen, J., Tong, X., Zhao, H., Ying, X., Zha, H.,
Three Orthogonal Vanishing Points Estimation in Structured Scenes Using Convolutional Neural Networks,
ICIP19(3537-3541)
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Vanishing Point, Structure Scenes, Convolutional Neural Networks, Geometric Constraint, Transfer Learning BibRef

Iwai, D.[Daisuke],
Computational Imaging in Projection Mapping,
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Springer DOI 1905
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Miraldo, P., Ramalingam, S., Eiras, F.,
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras,
CVPR18(2012-2021)
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Cameras, Mirrors, Mathematical model, Analytical models, Robot vision systems, Estimation BibRef

Gritsenko, P.[Pavel], Gritsenko, I.[Igor], Seidakhmet, A.[Askar], Kwolek, B.[Bogdan],
Plane Object-Based High-Level Map Representation for SLAM,
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Simon, G.[Gilles], Fond, A.[Antoine], Berger, M.O.[Marie-Odile],
A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws,
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Lee, S.J., Hwang, S.S.,
Fast and Robust Vanishing Point Detection on Un-Calibrated Images,
ICIP18(2920-2924)
IEEE DOI 1809
Linear programming, Image segmentation, Minimization, Filtering, Clustering algorithms, Filtering algorithms, Histograms, pose estimation BibRef

Sun, H.[Huihui], Yu, X.G.[Xin-Guo], Sun, C.[Chao],
Extracting Plücker Line and Their Relations for 3D Reconstruction of Indoor Scene,
PSIVTWS17(396-409).
Springer DOI 1806
BibRef

Workman, S.[Scott], Zhai, M.[Menghua], Jacobs, N.[Nathan],
Horizon Lines in the Wild,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Valdés-Camejo, A.[Alejandro], Aguirre-Carrazana, G.[Guillermo], Alonso-Baryolo, R.[Raúl], Morales-González, A.[Annette], Silva-Mata, F.J.[Francisco J.], García-Reyes, E.[Edel],
Estimation of Pedestrian Height Using Uncalibrated Cameras,
CIARP17(685-692).
Springer DOI 1802
First, horizon line, then relative heights of pedestrians in scene, then from height distribution of the population, estimate actual heights. BibRef

Kluger, F.[Florian], Ackermann, H.[Hanno], Yang, M.Y.[Michael Ying], Rosenhahn, B.[Bodo],
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection,
GCPR17(17-28).
Springer DOI 1711
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Zhang, D.W.[Ding-Wen], Han, J.W.[Jun-Wei], Yang, Y.[Yang], Huang, D.[Dong],
Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images,
CVPR17(3587-3595)
IEEE DOI 1711
Simplify human annotation needs. Image reconstruction, Image segmentation, Object segmentation, Shape, Solid modeling, BibRef

Lu, X.H.[Xiao-Hu], Yaoy, J.[Jian], Li, H.A.[Hao-Ang], Liu, Y.H.[Ya-Hui],
2-Line Exhaustive Searching for Real-Time Vanishing Point Estimation in Manhattan World,
WACV17(345-353)
IEEE DOI 1609
Buildings, Cameras, Estimation, Image segmentation, Navigation, Real-time systems, Search, problems BibRef

Alonso-Ramirez, O.[Oscar], Lopez-Correa, M.D.[Maria Dolores], Marin-Hernandez, A.[Antonio], Rios-Figueroa, H.V.[Homero V.],
Perspective Reconstruction by Determining Vanishing Points for Autonomous Mobile Robot Visual Localization on Supermarkets,
MCPR17(191-200).
Springer DOI 1706
BibRef

Takezawa, Y., Hasegawa, M., Tabbone, S.,
Camera-captured document image perspective distortion correction using vanishing point detection based on Radon transform,
ICPR16(3968-3974)
IEEE DOI 1705
Distortion, Feeds, Image reconstruction, Optical character recognition software, Optical distortion, Radon, Transforms BibRef

Nguyen, L., Phung, S.L., Bouzerdoum, A.,
Efficient Vanishing Point Estimation for Unstructured Road Scenes,
DICTA16(1-6)
IEEE DOI 1701
Estimation error BibRef

Kim, J.H.[Jae-Hean], Choi, J.S.[Jin Sung],
Camera Motion Estimation with Known Vertical Direction in Unstructured Environments,
ISVC16(I: 156-166).
Springer DOI 1701
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Roy, A.[Anirban], Todorovic, S.[Sinisa],
Monocular Depth Estimation Using Neural Regression Forest,
CVPR16(5506-5514)
IEEE DOI 1612
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Zhai, M., Workman, S., Jacobs, N.,
Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld,
CVPR16(5657-5665)
IEEE DOI 1612
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Engelmann, F.[Francis], Stückler, J.[Jörg], Leibe, B.[Bastian],
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction,
WACV17(400-408)
IEEE DOI 1609
BibRef
Earlier:
Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors,
GCPR16(219-230).
Springer DOI 1611
Computational modeling, Shape, Simultaneous localization and mapping, Solid modeling, Tracking, Trajectory. BibRef

Liwicki, S.[Stephan], Zach, C.[Christopher], Miksik, O.[Ondrej], Torr, P.H.S.[Philip H. S.],
Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation,
ECCV16(II: 458-474).
Springer DOI 1611
BibRef

El Merabet, Y.[Youssef], Ruichek, Y.[Yassine], Ghaffarian, S.[Saman], Samir, Z.[Zineb], Boujiha, T.[Tarik], Touahni, R.[Raja], Messoussi, R.[Rochdi],
Horizon Line Detection from Fisheye Images Using Color Local Image Region Descriptors and Bhattacharyya Coefficient-Based Distance,
ACIVS16(58-70).
Springer DOI 1611
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Fujinoki, K., Ashizawa, K.,
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ICWAPR16(258-263)
IEEE DOI 1611
Image Orientation analysis. BibRef

Yang, W.[Wei], Lin, H.T.[Hai-Ting], Kang, S.B.[Sing Bing], Yu, J.Y.[Jing-Yi],
Resolving Scale Ambiguity via XSlit Aspect Ratio Analysis,
ICCV15(3424-3432)
IEEE DOI 1602
Analytical models. depth-dependent aspect ratio for 3D recovery, non-perspective camera. BibRef

Valente, J.[Joachim], Soatto, S.[Stefano],
Perspective distortion modeling, learning and compensation,
Biometrics15(9-16)
IEEE DOI 1510
Cameras. BibRef

Kroeger, T.[Till], Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
Joint vanishing point extraction and tracking,
CVPR15(2449-2457)
IEEE DOI 1510
BibRef

Kazmi, S.M.A.M., Rao, N.I., Fazal, F., Khan, M.F.,
Exploiting a scene calibration mechanism for depth estimation,
IPTA12(421-425)
IEEE DOI 1503
calibration. Perspective on roads. BibRef

Kroeger, T.[Till], Dai, D.X.[Deng-Xin], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos,
MTT15(63-70)
IEEE DOI 1503
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Yu, Z.D.[Zhi-Ding], Zhang, W.[Wende], Kumar, B.V.K.V.[B.V.K. Vijaya],
Robust rear-view ground surface detection with hidden state conditional random field and confidence propagation,
ICIP14(991-995)
IEEE DOI 1502
Accuracy BibRef

She, Q.Y.[Qing-Yun], Lu, Z.Q.[Zong-Qing], Liao, Q.M.[Qing-Min],
Vanishing point estimation for challenging road images,
ICIP14(996-1000)
IEEE DOI 1502
Estimation BibRef

Tepper, M.[Mariano], Sapiro, G.[Guillermo],
Intersecting 2D lines: A simple method for detecting vanishing points,
ICIP14(1056-1060)
IEEE DOI 1502
Belts BibRef

Fan, J.[Jian], Zhang, T.[Tong],
Shelf detection via vanishing point and radial projection,
ICIP14(1575-1578)
IEEE DOI 1502
Image color analysis BibRef

Duan, W.T.[Wen-Ting], Allinson, N.[Nigel],
A J-Linkage Based Approach for Vanishing Direction Estimation in Catadioptric Images,
ICPR14(2113-2118)
IEEE DOI 1412
Calibration BibRef

Yang, W.[Wei], Ji, Y.[Yu], Ye, J.W.[Jin-Wei], Young, S.S.[S. Susan], Yu, J.Y.[Jing-Yi],
Coplanar Common Points in Non-centric Cameras,
ECCV14(I: 220-233).
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Dubská, M.[Markéta], Herout, A.[Adam],
Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points,
BMVC13(xx-yy).
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Joo, K.[Kyungdon], Oh, T.H.[Tae-Hyun], Kim, H.W.[Hyeong-Woo], Kweon, I.S.[In So],
Hierarchical 3D line restoration based on angular proximity in structured environments,
ICIP13(2158-2162)
IEEE DOI 1402
3D line BibRef

Donatsch, D.[Daniel], Farber, N.[Nico], Zwicker, M.[Matthias],
3D conversion using vanishing points and image warping,
3DTV-CON13(1-4)
IEEE DOI 1309
Stereo image processing BibRef

Fefilatyev, S.[Sergiy], Shreve, M.[Matthew],
Detection of the Vanishing Line of the Ocean Surface from Pairs of Scale-Invariant Keypoints,
CIAP13(I:161-169).
Springer DOI 1311
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Ahmad, T.[Touqeer], Bebis, G.N.[George N.], Regentova, E.E.[Emma E.], Nefian, A.[Ara], Fong, T.[Terry],
An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection,
ISVC14(I: 193-205).
Springer DOI 1501
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Ahmad, T.[Touqeer], Bebis, G.N.[George N.], Regentova, E.E.[Emma E.], Nefian, A.[Ara],
A Machine Learning Approach to Horizon Line Detection Using Local Features,
ISVC13(I:181-193).
Springer DOI 1310
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Antunes, M.[Michel], Barreto, J.P.[Joao P.],
A Global Approach for the Detection of Vanishing Points and Mutually Orthogonal Vanishing Directions,
CVPR13(1336-1343)
IEEE DOI 1309
Facility Location BibRef

Xu, Y.L.[Yi-Liang], Oh, S.M.[Sang-Min], Hoogs, A.[Anthony],
A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments,
CVPR13(1376-1383)
IEEE DOI 1309
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Shahrabadi, S.[Somayeh], Rodrigues, J.M.F.[Joao M. F.], du Buf, J.M.H.[J.M. Hans],
Detection of Indoor and Outdoor Stairs,
IbPRIA13(847-854).
Springer DOI 1307
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Wahyono, Joko, H.[Hariyono], Vavilin, A.[Andrey], Jo, K.H.[Kang-Hyun],
A geometry-based 3D reconstruction from a single omnidirectional image,
FCV13(295-299).
IEEE DOI 1304
Based on finding vertical surfaces. BibRef

Elqursh, A.[Ali], Elgammal, A.[Ahmed],
Single axis relative rotation from orthogonal lines,
ICPR12(3573-3576).
WWW Link. 1302
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Li, S.G.[Shi-Gang], Jia, H.C.[Han-Chao],
Vanishing point estimation by spherical gradient,
ICPR12(902-905).
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Gerogiannis, D.[Demetrios], Nikou, C.[Christophoros], Likas, A.[Aristidis],
Fast and efficient vanishing point detection in indoor images,
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Pei, D.L.[De-Li], Ji, R.R.[Rong-Rong], Sun, F.C.[Fu-Chun], Liu, H.P.[Hua-Ping],
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ICIP12(441-444).
IEEE DOI 1302
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Zaheer, A.[Aamer], Khan, S.[Sohaib],
3D Metric Rectification using Angle Regularity,
WACV14(31-36)
IEEE DOI 1406
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Zaheer, A.[Aamer], Rashid, M.[Maheen], Khan, S.[Sohaib],
Shape from Angle Regularity,
ECCV12(VI: 1-14).
Springer DOI 1210
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Li, C.,
Error Distribution Evaluation of The Third Vanishing Point Based On Random Statistical Simulation,
ISPRS12(XXXIX-B5:489-493).
DOI Link 1209
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Bartoli, A.E., Gerard, Y., Chadebecq, F., Collins, T.,
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IEEE DOI 1208
Register to the template, shape inference from constraints. BibRef

Bazin, J.C.[Jean-Charles], Seo, Y.D.[Yong-Duek], Hartley, R.I.[Richard I.], Pollefeys, M.[Marc],
Globally Optimal Inlier Set Maximization with Unknown Rotation and Focal Length,
ECCV14(II: 803-817).
Springer DOI 1408
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Earlier: A1, A2, A4, Only:
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ACCV12(II:539-551).
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Boroujeni, N.S.[Nasim Sepehri], Etemad, S.A.[S. Ali], Whitehead, A.[Anthony],
Robust Horizon Detection Using Segmentation for UAV Applications,
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IEEE DOI 1207
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Aly, M.[Mohamed], Bouguet, J.Y.[Jean-Yves],
Street view goes indoors: Automatic pose estimation from uncalibrated unordered spherical panoramas,
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IEEE DOI 1203
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Mirzaei, F.M.[Faraz M.], Roumeliotis, S.I.[Stergios I.],
Optimal estimation of vanishing points in a Manhattan world,
ICCV11(2454-2461).
IEEE DOI 1201
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Liu, Y.L.[Yuan-Liu], Wu, Y.[Yang], Yuan, Z.J.[Ze-Jian],
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Yin, X.C.[Xu-Cheng], Hao, H.W.[Hong-Wei], Sun, J.[Jun], Naoi, S.[Satoshi],
Robust Vanishing Point Detection for MobileCam-Based Documents,
ICDAR11(136-140).
IEEE DOI 1111
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Chen, Y.J.[Ying-Ju], Abushakra, A.[Ahmad], Lee, J.[Jeongkyu],
Vision-Based Horizon Detection and Target Tracking for UAVs,
ISVC11(II: 310-319).
Springer DOI 1109
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Köser, K.[Kevin], Zach, C.[Christopher], Pollefeys, M.[Marc],
Dense 3D Reconstruction of Symmetric Scenes from a Single Image,
DAGM11(266-275).
Springer DOI 1109
Award, GCPR. Generate an oriented symmetry plane in 3D, add a second (virtual) camera as the second image for 3D reconstruction. E.g. interior of a building. BibRef

Hornacek, M.[Michael], Maierhofer, S.[Stefan],
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IEEE DOI 1106
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Yasaroglu, Y.[Yagiz], Alatan, A.A.[A. Aydin],
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IEEE DOI 1105
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Morita, S.[Satoru],
Three Dimensional Reconstruction Using Vertical Constraints from a Photograph,
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Springer DOI 1011
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Li, Q.J.[Qiu-Jie], Mao, Y.B.[Yao-Bin], Wang, Z.Q.[Zhi-Quan],
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ICIP10(2665-2668).
IEEE DOI 1009
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Takahashi, Y.[Yusuke], Oami, R.[Ryoma],
Relevant image pre-filtering in automatic image orientation correction,
ICIP10(2657-2660).
IEEE DOI 1009
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Mantzel, W.[William], Romberg, J.[Justin],
Functional vanishing point estimation via a filtered-Radon operator,
ICIP10(1625-1628).
IEEE DOI 1009
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Förstner, W.[Wolfgang],
Optimal vanishing point detection and rotation estimation of single images from a Legoland scene,
PCVIA10(A:157).
PDF File. 1009
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Aranda, J.[Joan], Navarro, A.A.[Agustin A.],
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ICPR10(3468-3471).
IEEE DOI 1008
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Park, Y.B.[Young-Bin], Kim, S.S.[Sung Su], Suh, I.H.[Il Hong],
Visual Recognition of Types of Structural Corridor Landmarks Using Vanishing Points Detection and Hidden Markov Models,
ICPR10(3292-3295).
IEEE DOI 1008
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Tardif, J.P.[Jean-Philippe],
Non-iterative approach for fast and accurate vanishing point detection,
ICCV09(1250-1257).
IEEE DOI 0909
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Viswanath, P., Kakadiaris, I.A., Shah, S.K.,
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VS09(1259-1266).
IEEE DOI 0910
Object (person) height. BibRef

Burazerovic, D.[Dzevdet], Vandewalle, P.[Patrick], Berretty, R.P.[Robert-Paul],
Automatic depth profiling of 2D cinema - and photographic images,
ICIP09(2365-2368).
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Rough depth foreground/background using photographic and cinematic rules. BibRef

Tam, K.Y., Lay, J.A., Levy, D.,
Automatic Grid Segmentation of Populated Chessboard Taken at a Lower Angle View,
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Not really drawings. BibRef

Chen, Y.S.[Yi-Song],
Using Coplanar Circles to Perform Calibration-Free Planar Scene Analysis under a Perspective View,
ISVC09(I: 668-677).
Springer DOI 0911
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Schmitt, F.[Frank], Priese, L.[Lutz],
Vanishing Point Detection with an Intersection Point Neighborhood,
DGCI09(132-143).
Springer DOI 0909
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Hu, B.[Bo],
It's All Done with Mirrors: Calibration-and-Correspondence-Free 3D Reconstruction,
CRV09(148-154).
IEEE DOI 0905
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Huang, J.Y.[Jing-Yuan], Cowan, B.[Bill],
Simple 3D Reconstruction of Single Indoor Image with Perspective Cues,
CRV09(140-147).
IEEE DOI 0905
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Kogan, H.[Hadas], Maurer, R.[Ron], Keshet, R.[Renato],
Vanishing points estimation by self-similarity,
CVPR09(755-761).
IEEE DOI 0906
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Chen, Y.S.[Yi-Song], Lu, P.[Peng], Li, W.H.[Wen-Hang], Wang, S.R.[Shao-Rong],
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CIIP09(69-75).
IEEE DOI 0903
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Seok, B.R.[Bo-Ra], Hwang, Y.H.[Yong-Ho], Hong, H.K.[Hyun-Ki],
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CIVR05(367-375).
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Lourakis, M.I.A.[Manolis I. A.],
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ICIP07(VI: 389-392).
IEEE DOI 0709
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Wildenauer, H.[Horst], Vincze, M.[Markus],
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CIAP07(615-622).
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Cagnoni, S.[Stefano], Mordonini, M.[Monica], Mussi, L.[Luca], Adorni, G.[Giovanni],
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Stentiford, F.,
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ICIP06(417-420).
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Park, M.Y.[Mook-Yung], Moon, N.S.[Nam-Su], Ryu, S.[Sangrim], Kong, J.P.[Jeong-Pyo], Lee, Y.J.[Yong-Jin], Mun, W.J.[Wang-Jin],
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Kim, J.S.[Jun-Sik], Kweon, I.S.[In So],
Semi-metric Space: A New Approach to Treat Orthogonality and Parallelism,
ACCV06(I:529-538).
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Monnier, C., Ablavsky, V., Holden, S., Snorrason, M.,
Sequential correction of perspective warp in camera-based documents,
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Tian, D.P.[Dong-Ping], Shu, Y.[Yuan], Tan, Z.[Zheng],
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Velipasalar, S., Wolf, W.,
Recovering field of view lines by using projective invariants,
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Chen, Z.[Zhe],
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ICIP04(III: 2119-2122).
IEEE DOI 0505
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McKinnon, D.N.R.[David N.R.], Lovell, B.C.[Brian C.],
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IWCIA04(558-567).
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Coughlan, J.M., Yuille, A.L.[Alan L.],
Manhattan World: Compass Direction from a Single Image by Bayesian Inference,
ICCV99(941-947).
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Battiato, S., Capra, A., Curti, S., La Cascia, M.,
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Criminisi, A., Stork, D.G.,
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Wang, L.[Lei], Liu, X.[Xu], Xia, L.R.[Li-Rong], Xu, G.Y.[Guang-You], Bruckstein, A.M.,
Image orientation detection with integrated human perception cues (or which way is up),
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IEEE DOI 0312
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Wang, C.H.[Cai-Hua], Tanahashi, H., Satoh, Y., Hirayu, H., Sato, J.[Jun], Niwa, Y., lamamoto,K.,
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Schroeter, C.[Christof], Boehme, H.J.[Hans-Joachim], Gross, H.M.[Horst-Michael],
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Yoon, Y.I.[Yong-In], Im, J.W.[Jang-Whan], Kim, D.H.[Dae-Hyun], Choi, J.S.[Jong-Soo], Oh, J.S.[Jeong-Su],
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Cantoni, V., Lombardi, L., Porta, M., Sicard, N.,
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Radke, R.J., Ramadge, P.J.,
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ICIP00(Vol I: 232-235).
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Fujiki, J., Kurata, T.,
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ICPR00(Vol I: 406-410).
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Gurdjos, P.[Pierre], Payrissat, R.[Rene],
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Gurdjos, P., Payrissat, R.,
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ICIP00(Vol II: 756-759).
IEEE DOI 0008
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Bräuer-Burchardt, C.[Christian], Voss, K.[Klaus],
Robust Vanishing Point Determination in Noisy Images,
ICPR00(Vol I: 559-562).
IEEE DOI 0009
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Anandan, P., Avidan, S.,
Integrating Local Affine into Global Projective Images in the Joint Image Space,
ECCV00(I: 907-921).
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Shashua, A., Avidan, S.,
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Antone, M.E.[Matthew E.], Teller, S.[Seth],
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Sturm, P.F.[Peter F.],
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Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.], Proesmans, M.[Marc], and Moons, T.[Theo],
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Sundaram, H., Nayar, S.K.,
Are Textureless Scenes Recoverable?,
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Sedgwick, H.A.,
Layout2: A Production System Modeling Visual Perspective Information,
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Seo, Y., Hong, K.,
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ICPR96(I: 503-507).
IEEE DOI 9608
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ICIP96(II: 301-304).
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Vanderkooy, G.E.[Geoffrey E.], McLean, G.F.,
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ICIP96(II: 317-320).
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Laveau, S., Faugeras, O.D.,
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ECCV96(I:147-156).
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CAIP95(711-716).
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Verghese, G., Tsotsos, J.K.,
The role of feature visibility constraints in perspective alignment,
ICIP95(I: 386-389).
IEEE DOI 9510
3D position from 2D image location. BibRef

Haglund, L., Fleet, D.J.,
Stable estimation of image orientation,
ICIP94(III: 68-72).
IEEE DOI 9411
BibRef

Verghese, G.[Gilbert],
Perspective Alignment Back Projection for Monocular Tracking of Solid Objects,
BMVC93(xx-yy).
PDF File. 9309
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DeMenthon, D.F.[Daniel F.], Davis, L.S.[Larry S.],
Inverse perspective of a triangle: New exact and approximate solutions,
ECCV90(369-373).
Springer DOI 9004
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Kender, J.R.[John R.],
Why Perspective Is Difficult: How Two Algorithms Fail,
AAAI-82(9-12). BibRef 8200

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Single Image, Single View 3D Reconstruction .