15.2.13.1 Calibration Using Line Features, Lines

Chapter Contents (Back)
Camera Calibration. Line Features.

Liu, Y., Huang, T.S., and Faugeras, O.D.,
Determination of Camera Location from 2-D to 3-D Line and Point Correspondences,
PAMI(12), No. 1, January 1990, pp. 28-37.
IEEE DOI BibRef 9001
Earlier: CVPR88(82-88).
IEEE DOI Perspective assumption. 8 line correspondences or 6 point correspondences are required for a linear solution. 3 lines or points are needed for nonlinear. Correspondence is 2-D image to 3-D model. How does this correspond to the photogrammetry approaches? BibRef

Chen, S.Y.[Shu-Yuan], Tsai, W.H.[Wen-Hsiang],
A Systematic Approach to Analytic Determination of Camera Parameters by Line Features,
PR(23), No. 8, 1990, pp. 859-877.
Elsevier DOI BibRef 9000

Dell'Acqua, A.[Andrea], Sarti, A.[Augusto], Tubaro, S.[Stefano],
3D Motion from structures of points, lines and planes,
IVC(26), No. 4, April 2008, pp. 529-549.
Elsevier DOI 0711
BibRef
Earlier:
Three-view camera calibration using geometric algebra,
ICIP03(I: 305-308).
IEEE DOI 0312
Camera tracking; Geometric Algebra; Extended Kalman Filter Camera Motion using lines and planes. BibRef

Defferara, C., Negroni, F., Sarti, A., Tubaro, S.,
New perspectives on camera calibration using geometric algebra,
ICIP02(II: 573-576).
IEEE DOI 0210
BibRef

Grossmann, E.[Etienne], Lee, E.J.[Eun-Joo], Hislop, P.[Peter], Nistér, D.[David], Stewénius, H.[Henrik],
Are two rotational flows sufficient to calibrate a smooth non-parametric sensor?,
CVPR06(I: 1222-1229).
IEEE DOI 0606
BibRef

Urfalioglu, O.[Onay], Thormählen, T.[Thorsten], Broszio, H.[Hellward], Mikulastik, P.A.[Patrick A.], Cetin, A.E.[A. Enis],
Algebraic error analysis of collinear feature points for camera parameter estimation,
CVIU(115), No. 4, April 2011, pp. 467-475.
Elsevier DOI 1103
Collinear; Covariance propagation; Error analysis; Cramer-Rao bounds; ML-estimation; Camera parameter estimation BibRef

Mikulastik, P.A.[Patrick A.], Broszio, H.[Hellward], Thormählen, T.[Thorsten], Urfalioglu, O.[Onay],
Error Analysis of Feature Based Disparity Estimation,
PSIVT06(1-12).
Springer DOI 0612
BibRef
And: A4, A3, A2, A1:
Error Analysis of Camera Parameter Estimation based on Collinear Features,
CRV06(32-32).
IEEE DOI 0607
BibRef

Chaperon, T.[Thomas], Droulez, J.[Jacques], Thibault, G.[Guillaume],
Reliable camera pose and calibration from a small set of point and line correspondences: A probabilistic approach,
CVIU(115), No. 5, May 2011, pp. 576-585.
Elsevier DOI 1103
BibRef
Earlier:
A probabilistic approach to camera pose and calibration from a small set of point and line correspondences,
3DIM09(1678-1685).
IEEE DOI 0910
Camera calibration; Camera pose with unknown focal length; 2D-3D registration; Point and line correspondences; Probabilistic estimation; Parameter decomposition; Separable least-squares problem; Variable projection; Partially linear problem; Maximum A Posteriori (MAP) BibRef

Cao, J.S.[Jin-Shan], Yuan, X.X.[Xiu-Xiao], Fang, Y.[Yi],
Tri-Stereo Model Orientation of High-Resolution Satellite Imagery Combining Ground Control Points and Lines,
PFG(2016), No. 3, 2013, pp. 125-140.
DOI Link 1611
BibRef

Bok, Y.[Yunsu], Jeon, H.G.[Hae-Gon], Kweon, I.S.[In So],
Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features,
PAMI(39), No. 2, February 2017, pp. 287-300.
IEEE DOI 1702
BibRef
Earlier: ECCV14(VI: 47-61).
Springer DOI 1408
Apertures BibRef

Liu, Y.L.[Yan-Li], Chen, X.H.[Xiang-Hui], Gu, T.L.[Tian-Lun], Zhang, Y.C.[Yan-Ci], Xing, G.Y.[Guan-Yu],
Real-time camera pose estimation via line tracking,
VC(34), No. 6-8, June 2018, pp. 899-909.
WWW Link. 1806
BibRef

Zhao, J.[Ji], Kneip, L.[Laurent], He, Y.J.[Yi-Jia], Ma, J.[Jiayi],
Minimal Case Relative Pose Computation Using Ray-Point-Ray Features,
PAMI(42), No. 5, May 2020, pp. 1176-1190.
IEEE DOI 2004
Transmission line matrix methods, Cameras, Pose estimation, Feature extraction, Geometry, ray-point-ray structures BibRef

Yu, Q.[Qida], Xu, G.[Guili], Cheng, Y.H.[Yue-Hua],
An efficient and globally optimal method for camera pose estimation using line features,
MVA(31), No. 6, August 2020, pp. Article48.
WWW Link. 2008
BibRef

Sun, Y.B.[Yan-Biao], Robson, S.[Stuart], Scott, D.[Daniel], Boehm, J.[Jan], Wang, Q.A.[Qi-Ang],
Automatic sensor orientation using horizontal and vertical line feature constraints,
PandRS(150), 2019, pp. 172-184.
Elsevier DOI 1903
Sensor orientation, Line features, Bundle adjustment, Horizontal lines, Vertical lines BibRef

Chuang, J.H., Ho, C.H., Umam, A., Chen, H.Y., Hwang, J.N., Chen, T.A.,
Geometry-Based Camera Calibration Using Closed-Form Solution of Principal Line,
IP(30), 2021, pp. 2599-2610.
IEEE DOI 2102
Calibration, Cameras, Optical wavelength conversion, Closed-form solutions, Transforms, outlier removal BibRef

Tanaka, K.[Kazumoto], Zhang, Y.C.[Yun-Chuan],
Single-Image Camera Calibration for Furniture Layout Using Natural-Marker-Based Augmented Reality,
IEICE(E105-D), No. 6, June 2022, pp. 1243-1248.
WWW Link. 2206
BibRef


Lee, J.[Jinwoo], Go, H.[Hyunsung], Lee, H.[Hyunjoon], Cho, S.[Sunghyun], Sung, M.[Minhyuk], Kim, J.[Junho],
CTRL-C: Camera calibration TRansformer with Line-Classification,
ICCV21(16208-16217)
IEEE DOI 2203
Training, Image segmentation, Computer architecture, Cameras, Transformers, Calibration, Decoding, Vision applications and systems BibRef

Zhang, X., Sun, X., Yuan, Y., Zhu, Z., Yu, Q.,
Iterative Determination of Camera Pose From Line Features,
ISPRS12(XXXIX-B3:81-86).
DOI Link 1209
BibRef

Baker, P.[Patrick], Aloimonos, Y.[Yiannis],
Rotations, Lines, and Multilinear Constraints,
UMD-- TR4420, November 2002.
WWW Link. BibRef 0211

Baker, P.[Patrick], Aloimonos, Y.[Yiannis],
Complete Calibration of a Multi-camera Network,
OMNIVIS00(xx-yy). 0012
BibRef

Baker, P.[Patrick],
Lines as the Fundamental Unit of Vision,
WTRCV02(87-106). 0204
BibRef

Mitschke, M.M.[Matthias M.], Navab, N.[Nassir],
Recovering Projection Geometry: How a Cheap Camera Can Outperform an Expensive Stereo System,
CVPR00(I: 193-200).
IEEE DOI 0005
BibRef

Hanek, R.[Robert], Navab, N.[Nassir], Appel, M.[Mirko],
Yet Another Method for Pose Estimation: A Probabilistic Approach using Points, Lines, and Cylinders,
CVPR99(II: 544-550).
IEEE DOI
See also Canonical Representation and Multi-View Geometry of Cylinders. BibRef 9900

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Autonomous Vehicles .


Last update:Jun 19, 2022 at 13:58:21