Basri, R.,
Viewer-Centered Representations in Object Recognition:
A Computational Approach,
HPRCV97(Chapter V:4).
(Massachusetts Inst. Tech)
BibRef
9700
Seibert, M.C., and
Waxman, A.M.,
Adaptive 3-D Object Recognition from Multiple Views,
PAMI(14), No. 2, February 1992, pp. 107-124.
IEEE DOI Given a sequence of views, accumulate the recognition and transformation
parameters. At any time, the highest one is the winner, but it can change
as new views are added. Uses unoccluded objects.
BibRef
9202
Gigus, Z.,
Canny, J., and
Seidel, R.,
Efficiently Computing and Representing Aspect Graphs of
Polyhedral Objects,
PAMI(13), No. 6, June 1991, pp. 542-551.
IEEE DOI
BibRef
9106
Earlier:
ICCV88(30-39).
IEEE DOI Partition the viewing space and generate representative views of objects.
BibRef
Laurentini, A.,
Comments on: Efficiently Computing and Representing Aspect Graphs of
Polyhedral Objects,
PAMI(18), No. 1, January 1996, pp. 57-58.
IEEE DOI See
See also Efficiently Computing and Representing Aspect Graphs of Polyhedral Objects.
BibRef
9601
Reeves, A.P., and
Taylor, R.W.,
Identification of Three-Dimensional Objects Using Range Information,
PAMI(11), No. 4, April 1989, pp. 403-410.
IEEE DOI
BibRef
8904
Earlier:
with
Prokop, R.J.,
Shape Analysis of Three Dimensional Objects Using Range Information,
CVPR85(452-457).
Moments. Cornell Univ.
Synthetic range data. Moment based feature vector classification.
Models for all (icosahedron) view points are computed.
See also Three-Dimensional Shape Analysis Using Moments and Fourier Descriptors.
BibRef
Kriegman, D.J.[David J.],
Computing Stable Poses of Piecewise Smooth Objects,
CVGIP(55), No. 2, March 1992, pp. 109-118.
Elsevier DOI
BibRef
9203
Earlier:
CADBV91(66-75).
Restrict the pose because the object is on a plane. Solve
polynomial equations for surfaces represented as algebraic equations.
BibRef
Kriegman, D.J., and
Ponce, J.,
Computing Exact Aspect Graphs of Curved Objects: Solids of Revolution,
IJCV(5), No. 2, November 1990, pp. 119-135.
Springer DOI
BibRef
9011
And:
3DWS89(116-122).
BibRef
Pae, S.I.[Sung-Il],
Ponce, J.[Jean],
Toward a Scale-Space Aspect Graph: Solids of Revolution,
CVPR99(II: 196-201).
IEEE DOI
BibRef
9900
Petitjean, S.,
Ponce, J., and
Kriegman, D.J.,
Computing Exact Aspect Graphs of Curved Objects:
Algebraic Surfaces,
IJCV(9), No. 3, 1992, pp. 231-255.
Springer DOI
BibRef
9200
Earlier: A2, A1, A3:
ECCV92(599-614).
Springer DOI
BibRef
And: A1, A2, A3:
Computing Exact Aspect Graphs of Curved Objects: Parametric Patches,
AAAI-90(1074-1079).
BibRef
And:
UIUCDCS-R-90-1579, University of Illinois, 1990.
BibRef
Petitjean, S.,
The Enumerative Geometry of Projective Algebraic-Surfaces and the
Complexity of Aspect Graphs,
IJCV(19), No. 3, August 1996, pp. 261-287.
Springer DOI
BibRef
9608
Earlier:
On the Enumerative Geometry of Aspect Graphs,
ECCV94(A:421-426).
Springer DOI Exact results for the degrees of visual event surfaces with piecewise-smooth
algebraic objects.
BibRef
Petitjean, S.[Sylvain],
Algebraic Geometry and Computer Vision:
Polynomial Systems, Real and Complex Roots,
JMIV(10), No. 3, May 1999, pp. 191-220.
DOI Link
BibRef
9905
Earlier:
Algebraic Geometry and Object Representation in Computer Vision,
ORCV94(155-165).
Springer DOI
9412
BibRef
Petitjean, S.[Sylvain],
Geometrie enumerative et contacts de varietes lineares:
Application aux graphes d'aspects objets courbes,
Ph.D.Thesis, Institut National Polytechnique de Lorraine, 1995.
BibRef
9500
Plantinga, H., and
Dyer, C.R.,
The Asp: A Continuous Viewer-Centered Representation
for 3D Object Recognition,
ICCV87(626-630).
BibRef
8700
Plantinga, H., and
Dyer, C.R.,
Visibility, Occlusion, and the Aspect Graph,
IJCV(5), No. 2, November 1990, pp. 137-160.
Springer DOI
BibRef
9011
And:
TR 736, CSD,
Univ. of WisconsinDecember 1987.
Contrast this with Ikeuchi's approach.
BibRef
Korn, M.R.[Matthew R.],
Dyer, C.R.[Charles R.],
3-D Multiview Object Representations for Model-Based Object Recognition,
PR(20), No. 1, 1987, pp. 91-103.
Elsevier DOI
BibRef
8700
Rieger, J.H.,
Rohr, K.,
Semi-Algebraic Solids in 3-Space: A Survey of Modeling Schemes
and Implications for View Graphs,
IVC(12), No. 7, September 1994, pp. 395-410.
Elsevier DOI
Survey, 3D.
BibRef
9409
Rieger, J.H.,
The Geometry of View Space of Opaque Objects Bounded by Smooth Surfaces,
AI(44), No. 1-2, July 1990, pp. 1-40.
Elsevier DOI This discusses how to compute the viewspace of objects.
BibRef
9007
Rieger, J.H.,
Global Bifurcation Sets and Stable Projections of
Nonsingular Algebraic Surfaces,
IJCV(7), No. 3, April 1992, pp. 171-194.
Springer DOI More on the generation of viewgraphs.
BibRef
9204
Rieger, J.H.,
On the Complexity and Computation of View Graphs of Piecewise-Smooth
Algebraic Surfaces,
TRFBI-HH-M-228/93, Universitat Hamburg, 1993.
BibRef
9300
Wiskott, L.[Laurenz],
von der Malsburg, C.[Christoph],
A Neural System for the Recognition of Partially Occluded
Objects in Cluttered Scenes: A Pilot Study,
PRAI(7), 1993, pp. 935-948.
BibRef
9300
Yuan, X.B.[Xiao-Bu],
Lu, S.W.[Si-Wei],
Resolving View Sensitivity With Surface Locality,
PR(29), No. 9, September 1996, pp. 1485-1493.
Elsevier DOI
Topological Structure.
Geometric Uncertainty.
Disambiguating Features.
Range Images.
BibRef
9609
Yuan, X.B.[Xiao-Bu],
Lu, S.W.[Si-Wei],
Feature Mapping and View Planning with Localized Surface Parameters,
JMIV(7), No. 2, March 1997, pp. 163-174.
DOI Link
9705
BibRef
Malik, R.[Raashid], and
Whangbo, T.[Taegkeun],
Angle Densities and Recognition of 3D Objects,
PAMI(19), No. 1, January 1997, pp. 52-57.
IEEE DOI
9702
BibRef
Earlier:
Using Angle Densities for 3-D Recognition,
SPIE(2354), October 1994, pp. 308-319.
You cannot use uniform distributions of view in a view sphere.
BibRef
Malik, R.[Raashid],
Polyhedral Object Recognition Using View Density,
SMC-C91(I:111-116).
BibRef
9100
Whangbo, T.[Taegkeun],
3-D Object Recognition Using Angle View Densities,
Ph.D.Thesis, EECS, Stevens Institute, May 1995.
BibRef
9505
Weinshall, D.,
Werman, M.,
On View Likelihood and Stability,
PAMI(19), No. 2, February 1997, pp. 97-108.
IEEE DOI
9703
How likely is a view to occur (i.e. a typical or characteristic view),
and how little the image changes with small viewpoint changes are the same.
Choose the most likely among all feasible solutions.
BibRef
Weinshall, D.,
Werman, M.,
Tishby, N.,
Stability and Likelihood of Views of Three Dimensional Objects,
ECCV94(A:24-35).
Springer DOI
BibRef
9400
Gdalyahu, Y.[Yoram],
Weinshall, D.[Daphna], and
Werman, M.[Michael],
Canonical Views, or the Stability and Likelihood of Images
of 3D Objects,
ARPA94(II:967-971).
BibRef
9400
Weinshall, D.[Daphna], and
Werman, M.[Michael],
A Computational Theory of Canonical Views,
ARPA96(1001-1006).
BibRef
9600
Weinshall, D.[Daphna],
Werman, M.,
Disambiguation Techniques for Recognition in Large Databases
and for Under-Constrained Reconstruction,
SCV95(425-430).
IEEE DOI The Hebrew University of Jerusalem.
uses 4 kinds of matching, points, angles, cooluding countous, and shaded
images of surfaces.
BibRef
9500
Shimshoni, I.[Ilan],
Ponce, J.[Jean],
Finite-Resolution Aspect Graphs Of Polyhedral Objects,
PAMI(19), No. 4, April 1997, pp. 315-327.
IEEE DOI
9705
BibRef
Earlier:
WQV93(140-150).
Computing the aspect graph of a polyhedral object using an orthographic camera
with limited spatial resolution. This combines some different views under
normal projection and results in accidental views in a finite area of space.
See also Probabilistic 3D Object Recognition.
BibRef
Zhou, G.Q.,
Primitive Recognition Using Aspect-Interpretation Model-Matching in
Both CAD-Based and LP-Based Measurement Systems,
PandRS(52), No. 2, April 1997, pp. 74-84.
9705
BibRef
To, F.W.,
Tsang, K.M.,
Recognition of Partially Occluded Objects Using an Orthogonal Complex
AR Model Approach,
PRAI(13), No. 1, February 1999, pp. 85.
BibRef
9902
Hinterstoisser, S.[Stefan],
Cagniart, C.[Cedric],
Ilic, S.[Slobodan],
Sturm, P.F.[Peter F.],
Navab, N.[Nassir],
Fua, P.[Pascal],
Lepetit, V.[Vincent],
Gradient Response Maps for Real-Time Detection of Textureless Objects,
PAMI(34), No. 5, May 2012, pp. 876-888.
IEEE DOI
1204
Real-time 3-D instance detection. Novel image representation for template
matching.
BibRef
Hinterstoisser, S.[Stefan],
Lepetit, V.[Vincent],
Ilic, S.[Slobodan],
Fua, P.[Pascal],
Navab, N.[Nassir],
Dominant orientation templates for real-time detection of texture-less
objects,
CVPR10(2257-2264).
IEEE DOI
1006
BibRef
Hinterstoisser, S.[Stefan],
Holzer, S.[Stefan],
Cagniart, C.[Cedric],
Ilic, S.[Slobodan],
Konolige, K.G.[Kurt G.],
Navab, N.[Nassir],
Lepetit, V.[Vincent],
Multimodal templates for real-time detection of texture-less objects in
heavily cluttered scenes,
ICCV11(858-865).
IEEE DOI
1201
Multi-modal (image and depth map), templates on different modalities.
BibRef
Ulrich, M.[Markus],
Wiedemann, C.[Christian],
Steger, C.T.[Carsten T.],
Combining Scale-Space and Similarity-Based Aspect Graphs for Fast 3D
Object Recognition,
PAMI(34), No. 10, October 2012, pp. 1902-1914.
IEEE DOI
1208
Recognize instance and determine pose.
Hierarchical search for pose
BibRef
Wang, M.[Meng],
Gao, Y.[Yue],
Lu, K.[Ke],
Rui, Y.[Yong],
View-Based Discriminative Probabilistic Modeling for 3D Object
Retrieval and Recognition,
IP(22), No. 4, April 2013, pp. 1395-1407.
IEEE DOI
1303
BibRef
Hu, W.Z.[Wen-Ze],
Zhu, S.C.[Song-Chun],
Learning 3D Object Templates by Quantizing Geometry and Appearance
Spaces,
PAMI(37), No. 6, June 2015, pp. 1190-1205.
IEEE DOI
1506
Dynamic programming
BibRef
Hu, W.Z.[Wen-Ze],
Zhu, S.C.[Song-Chun],
Learning a probabilistic model mixing 3D and 2D primitives for view
invariant object recognition,
CVPR10(2273-2280).
IEEE DOI
1006
stick-like primitives.
BibRef
Hu, W.Z.[Wen-Ze],
Learning 3D object templates by hierarchical quantization of geometry
and appearance spaces,
CVPR12(2336-2343).
IEEE DOI
1208
BibRef
Busto, P.P.[Pau Panareda],
Gall, J.[Juergen],
Open Set Domain Adaptation,
ICCV17(754-763)
IEEE DOI
1802
Award, Marr Prize, HM. image classification, learning (artificial intelligence),
object recognition, closed set recognition task,
Training
BibRef
Busto, P.P.[Pau Panareda],
Liebelt, J.[Joerg],
Gall, J.[Juergen],
Adaptation of Synthetic Data for Coarse-to-Fine Viewpoint Refinement,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Kehl, W.[Wadim],
Tombari, F.[Federico],
Navab, N.[Nassir],
Ilic, S.[Slobodan],
Lepetit, V.[Vincent],
Hashmod: A Hashing Method for Scalable 3D Object Detection,
BMVC15(xx-yy).
DOI Link
1601
Object and pose in RGB-D.
BibRef
Liu, A.A.[An-An],
Nie, W.Z.[Wei-Zhi],
Su, Y.T.[Yu-Ting],
3D Object Retrieval Based on Multi-View Latent Variable Model,
CirSysVideo(29), No. 3, March 2019, pp. 868-880.
IEEE DOI
1903
Solid modeling, Feature extraction,
Computational modeling, Cameras, Visualization, Context modeling,
Multi-View
BibRef
Cong, Y.[Yang],
Tian, D.Y.[Dong-Ying],
Feng, Y.[Yun],
Fan, B.J.[Bao-Jie],
Yu, H.B.[Hai-Bin],
Speedup 3-D Texture-Less Object Recognition Against Self-Occlusion
for Intelligent Manufacturing,
Cyber(49), No. 11, November 2019, pp. 3887-3897.
IEEE DOI
1908
feature extraction, iterative methods, object detection,
object recognition, parallel processing, pose estimation,
pose estimation
BibRef
Su, Y.T.[Yu-Ting],
Li, Y.Q.[Yu-Qian],
Song, D.[Dan],
Liu, A.[Anan],
Nie, J.[Jie],
Joint Intermediate Domain Generation and Distribution Alignment for
2D Image-Based 3D Objects Retrieval,
MultMed(23), 2021, pp. 2127-2138.
IEEE DOI
2107
MDI3D Dataset.
Visualization, Task analysis, Shape, Feature extraction,
feature learning
BibRef
Peng, Y.[Yang],
Yan, S.[Shen],
Liu, Y.X.[Yu-Xiang],
Liu, Y.[Yu],
Zhang, M.[Maojun],
View graph construction for scenes with duplicate structures via
graph convolutional network,
IET-CV(16), No. 5, 2022, pp. 389-402.
DOI Link
2207
graph convolutional network, image embedding, metric learing,
view graph construction
BibRef
Konishi, Y.[Yoshinori],
Hanzawa, Y.[Yuki],
Kawade, M.[Masato],
Hashimoto, M.[Manabu],
Fast 6D Pose Estimation from a Monocular Image Using Hierarchical Pose
Trees,
ECCV16(I: 398-413).
Springer DOI
1611
To structure search of templates
BibRef
Son, J.H.[Jeong-Ho],
Choi, S.H.[Sung-Hee],
Orientation selection for printing 3D models,
IC3D15(1-6)
IEEE DOI
1603
computational geometry
BibRef
Zhang, X.Z.[Xiao-Zheng],
Gao, Y.S.[Yong-Sheng],
Caelli, T.[Terry],
Parametric Manifold of an Object under Different Viewing Directions,
ECCV12(V: 186-199).
Springer DOI
1210
BibRef
Mark, L.H.,
Okouneva, G.,
Saint-Cyr, P.,
Ignakov, D.,
English, C.,
Near-Optimal Selection of Views and Surface Regions for ICP Pose
Estimation,
ISVC10(II: 53-63).
Springer DOI
1011
BibRef
Raytchev, B.[Bisser],
Kikutsugi, Y.[Yuta],
Tamaki, T.[Toru],
Kaneda, K.[Kazufumi],
Class-Specific Low-Dimensional Representation of Local Features for
Viewpoint Invariant Object Recognition,
ACCV10(III: 250-261).
Springer DOI
1011
BibRef
Raytchev, B.[Bisser],
Mino, T.[Tetsuya],
Tamaki, T.[Toru],
Kaneda, K.[Kazufumi],
View-Invariant Object Recognition with Visibility Maps,
ICPR10(1040-1043).
IEEE DOI
1008
BibRef
Arie-Nachimson, M.[Mica],
Basri, R.[Ronen],
Constructing implicit 3D shape models for pose estimation,
ICCV09(1341-1348).
IEEE DOI
0909
Rigid objects, pose in single 2D images. Voting procedure handle 3D
transformations and self-occlusions.
BibRef
Heisele, B.[Bernd],
Kim, G.[Gunhee],
Meyer, A.[Andrew],
Object Recognition with 3d Models,
BMVC09(xx-yy).
PDF File.
0909
From the 3-D graphical model.
BibRef
Kosecka, J.,
Yang, X.L.[Xiao-Long],
Global localization and relative pose estimation based on
scale-invariant features,
ICPR04(IV: 319-322).
IEEE DOI
0409
BibRef
Nölle, M.[Michael],
Distribution Distance Measures Applied to 3-D Object Recognition:
A Case Study,
DAGM03(84-91).
Springer DOI
0310
dissimilarity measures for probability distributions.
view-based object recognition.
BibRef
Fitzgibbon, A.W.,
Fisher, R.B.,
Practical Aspect-Graph Derivation Incorporating
Feature Segmentation Performance,
BMVC92(580-589).
PDF File. viewsphere, geometric modelling
PS File.
BibRef
9200
Edinburgh
BibRef
Fisher, R.B.,
Reducing Viewsphere Complexity,
ECAI90(274-276).
aspect graphs
BibRef
9000
Edinburgh
BibRef
Verri, A.,
Uras, C.,
Aspect-Based Object Recognition with Size Functions,
ICPR96(I: 682-686).
IEEE DOI
9608
(Univ. di Genova, I)
BibRef
Dunker, J.,
Hartmann, G.,
Stoehr, M.,
Single View Recognition and Pose Estimation of 3D Objects Using Sets
of Prototypical Views and Spatially Tolerant Contour Representations,
ICPR96(IV: 14-18).
IEEE DOI
9608
(Univ. of Paderborn, D)
BibRef
Herbin, S.[Stephane],
Recognizing 3D Objects by Generating Random Actions,
CVPR96(35-40).
IEEE DOI
Active Vision. Simulated.
BibRef
9600
Burns, J.B., and
Riseman, E.M.,
Matching Complex Images to
Multiple 3D Objects Using View Description Networks,
CVPR92(328-334).
IEEE DOI
BibRef
9200
And:
DARPA92(675-682).
Almost an aspect graph type of match, but not quite.
BibRef
Burns, J.B.[J. Brian],
Matching 2D Images to Multiple 3D Objects Using
View Description Networks,
UMassTR-92-17, February 1992.
BibRef
9202
Ph.D.Thesis, CS.
BibRef
Burns, J.B.[J. Brian], and
Kitchen, L.J.[Leslie J.],
Recognition in 2D Images of 3D Objects from Large Model Bases
Using Prediction Hierarchies,
IJCAI87(763-766).
BibRef
8700
And:
Rapid Object Recognition From a Large Model Base Using
Prediction Hierarchies,
DARPA88(711-719).
BibRef
Munkelt, O.,
Zierl, C.,
Fast 3-D Object Recognition Using Feature Based Aspect-Trees,
ICPR94(A:854-857).
IEEE DOI Find the best matching aspect using features computed from the 2D image.
BibRef
9400
Lanser, S.[Stefan],
Munkelt, O.[Olaf],
Zierl, C.[Christoph],
Robust Video-Based Object Recognition Using CAD Models,
IAS95(529-536).
BibRef
9500
Matsuo, H.,
Iwata, A.,
3-D Object Recognition Using MEGI Model from Range Data,
ICPR94(A:843-846).
IEEE DOI
BibRef
9400
Matsuo, H.,
Funabashi, J.,
Iwata, A.,
3-D Object Recognition Using Adaptive Scale MEGI,
ICPR96(IV: 117-122).
IEEE DOI
9608
(Nagoya Institute of Technology, J)
BibRef
Bellaire, G.,
Schlüns, K.[Karsten],
Mitritz, A.,
Gwinner, K.,
Adaptive matching using object modes generated from photometric stereo
images,
CIAP95(293-298).
Springer DOI
9509
Surface Normal Images
BibRef
Schutte, K.,
Boersema, G.,
Hypothesizing a 3-D Scene from a Segmented Aerial Image,
O3DMT93(452-459).
BibRef
9300
Tropf, H., and
Walter, I.,
An ATN Model for 3D Recognition of Solids in Single Views,
IJCAI83(1094-1098). (Karlsruhe)
Recognize Three-Dimensional Objects. (Aspect graphs - no.) Uses the
ATN model to build a program for object recognition.
BibRef
8300
Tropf, H.,
Analysis-by-Synthesis Search for Semantic Segmentation Applied to
Workpiece Recognition,
ICPR80(241-244).
BibRef
8000
Sripradisvarakul, T.[Thawach], and
Jain, R.C.[Ramesh C.],
Generating Aspect Graphs for Curved Objects,
3DWS89(109-115).
BibRef
8900
Watts, N.A.,
Calculating the Principal Views of a Polyhedron,
ICPR88(I: 316-322).
IEEE DOI
BibRef
8800
And:
Univ. of RochesterTR 234, 1987.
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Aspect Graph Matching -- Bowyer .