13.1.3.1 Pose Estimation, 3D Models

Peek, S.A., Mayhew, J.E.W., Frisby, J.P.,
Obtaining Viewing Distance and Angle of Gaze from Vertical Disparity Using a Hough-Type Accumulator,
IVC(2), No. 4, November 1984, pp. 180-190.
WWW Version. BibRef 8411

Dhome, M., and Kasvand, T.,
Polyhedron Recognition by Hypothesis Accumulation,
PAMI(9), No. 3, May 1987, pp. 429-438. BibRef 8705
Earlier:
Hierarchical Approach for Polyhedra Recognition by Hypothesis Accumulation,
ICPR86(88-91). BibRef

Stockman, G.C.,
Object Recognition and Localization via Pose Clustering,
CVGIP(40), No. 3, December 1987, pp. 361-387. Recognize Three-Dimensional Objects. This is a follow-on paper to the next one, but discusses the general technique in terms of pose clustering. BibRef 8712

Stockman, G.C.[George C.],
Object Representation for Recognition-by-Alignment,
ORCV94(77-87).
WWW Version. 9412 BibRef

Stockman, G.C., Kopstein, S., and Benett, S.,
Matching Images to Models for Registration and Object Detection via Clustering,
PAMI(4), No. 3, May 1982, pp. 229-241. (LNK) Try all pairs of image and model elements, generate rotation, scale and translation transformations between the two and cluster in this RST space. Clusters indicate many matches for these values this can then give the best global match. (Paper takes a long time to describe it-seems basically easy?) High level template matching? BibRef 8205

Stockman, G., Esteva, J.C.,
3D Object Pose from Clustering with Multiple Views,
PRL(3), 1985, pp. 279-286. BibRef 8500
Earlier:
Use of Geometrical Constraints and Clustering to Determine 3D Object Pose,
ICPR84(742-744). BibRef

Bani-Hashemi, A.,
A Fourier Approach to Camera Orientation,
PAMI(15), No. 11, November 1993, pp. 1197-1202.
IEEE Abstract. IEEE Top Reference.
WWW Version. Fourier Descriptors. Analysis of regular patterns. BibRef 9311

Usoh, M., Buxton, H.,
SIMD Algorithm for Curved Object Recognition Using Grimson and Lozano-Perez Matching,
VC(10), 1993, pp. 160-172. See also Localizing Overlapping Parts by Searching the Interpretation Tree. BibRef 9300

Hel-Or, Y., Werman, M.,
Pose Estimation by Fusing Noisy Data of Different Dimensions,
PAMI(17), No. 2, February 1995, pp. 195-201.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9502
And: Correction: PAMI(17), No. 5, May 1995, pp. 544. BibRef
Earlier:
Model Based Pose Estimation of Articulated and Constrained Objects,
ECCV94(A:262-273).
WWW Version. Constraint Satisfaction. BibRef

Hel-Or, Y., Werman, M.,
Constraint Fusion for Recognition and Localization of Articulated Objects,
IJCV(19), No. 1, July 1996, pp. 5-28. 9608 BibRef
Earlier:
Constraint-Fusion for Localization and Interpretation of Constrained Objects,
CVPR94(39-45).
IEEE Abstract. IEEE Top Reference. BibRef

Brou, P.,
Using the Gaussian Image to Find the Orientation of Objects,
IJRR(3), No. 4, 1984, 89-125. BibRef 8400
And: MIT AI Memo-810, 1984. BibRef

Andresen, K., Hentrich, K., Huebner, B.,
Camera Orientation and 3D-Deformation Measurement by Use of Cross Gratings,
OptLas(22), No. 3, 1995, pp. 215-226. BibRef 9500

Olson, C.F.,
Probabilistic Indexing for Object Recognition,
PAMI(17), No. 5, May 1995, pp. 518-522.
IEEE Abstract. IEEE Top Reference.
WWW Version.
PDF Version. BibRef 9505
Earlier:
Fast Alignment Using Probabilistic Indexing,
CVPR93(387-392).
IEEE Abstract. IEEE Top Reference. BibRef
And:
Probabilistic Indexing: Recognizing 3D Objects from 2D Images Using the Probabilistic Peaking Effect,
UCBCSD-93-733, 1993. Indexing. Intended to be a fast version of indexing (as in Ben-Arie and Huttenlocher). See also Connectionist Networks for Feature Indexing and Object Recognition. BibRef

Olson, C.F.,
Probabilistic Indexing: Recognizing 3D Objects from 2D Images Using Probabilistic Peaking Effect,
UCB/CDS93-733, UC Berkeley, May 1993, BibRef 9305

Olson, C.F.[Clark F.],
A Probabilistic Formulation for Hausdorff Matching,
CVPR98(150-156).
IEEE Abstract. IEEE Top Reference. Terrain Map from stereo. BibRef 9800

Olson, C.F.[Clark F.],
Fast Object Recognition By Selectively Examining Hypotheses,
UCBUC Berkeley, May 1994, BibRef 9405 Ph.D.Thesis (CS).
HTML Version.
Postscript Version. BibRef

Olson, C.F.,
Efficient Pose Clustering Using A Randomized Algorithm,
IJCV(23), No. 2, June 1997, pp. 131-147.
WWW Version. 9708
HTML Version.
PDF Version. BibRef
Earlier:
Time and Space Efficient Pose Clustering,
CVPR94(251-258).
IEEE Abstract. IEEE Top Reference. BibRef

Olson, C.F.[Clark F.],
Pose Sampling for Efficient Model-Based Recognition,
ISVC07(II: 781-790).
WWW Version. 0711 BibRef

Olson, C.F.,
Pose clustering guided by short interpretation trees,
ICPR04(II: 149-152).
WWW Version. 0409 BibRef

Olson, C.F.,
On the Speed and Accuracy of Object Recognition When Using Imperfect Grouping,
SCV95(449-454).
IEEE Top Reference. Cornell University. BibRef 9500

Huang, J.B., Chen, Z., Chia, T.L.,
Pose Determination of a Cylinder Using Reprojection Transformation,
PRL(17), No. 10, September 2 1996, pp. 1089-1099. BibRef 9609

Wells, III, W.M.,
Statistical Approaches to Feature-Based Object Recognition,
IJCV(21), No. 1-2, January 1997, pp. 63-98.
WWW Version. 9704 BibRef

Wells, III, W.M.,
Statistical Object Recognition with the Expectation-Maximization Algorithm in Range-Derived Features,
DARPA93(839-850). BibRef 9300
And:
Posterior Marginal Pose Estimation,
DARPA92(745-751). BibRef
Earlier:
MAP Model Matching,
CVPR91(486-492).
IEEE Abstract. IEEE Top Reference. Match a detailed metrical object model using an alignment approach. BibRef

Baker, J.D.[Jonathan D.], Wells, III, W.M.[William M.],
Multiresolution Statistical Object Recognition,
ARPA94(II:1251-1256). BibRef 9400

Wells, III, W.M.[William M.],
Statistical Object Recognition,
MIT AI-TR-1398, January 1993. BibRef 9301 Ph.D.Thesis, MIT, 1992.
WWW Version. BibRef

Murino, V., Foresti, G.L.,
2D into 3D Hough-Space Mapping for Planar Object Pose Estimation,
IVC(15), No. 6, June 1997, pp. 435-444.
WWW Version. 9708 BibRef

Pece, A.E.C.[Arthur E.C.], Worrall, A.D.[Anthony D.],
A Statistically-Based Newton Method for Pose Refinement,
IVC(16), No. 8, June 1998, pp. 541-544.
WWW Version. 9807 BibRef

Worrall, A.D., Sullivan, G.D., Baker, K.D.,
Pose Refinement of Active Models Using Forces in 3D,
ECCV94(A:341-350).
WWW Version. BibRef 9400

Araújo, H.[Helder], Carceroni, R.L.[Rodrigo L.], Brown, C.M.[Christopher M.],
A Fully Projective Formulation to Improve the Accuracy of Lowe's Pose-Estimation Algorithm,
CVIU(70), No. 2, May 1998, pp. 227-238.
WWW Version. BibRef 9805
Earlier:
A Full-Projective Improvement for Lowe's Pose-Estimation Algorithm,
DARPA97(875-880). See also Robust Model-Based Motion Tracking Through the Integration of Search and Estimation. BibRef

Jacobs, D.W.[David W.], Basri, R.[Ronen],
3-D to 2-D Pose Determination with Regions,
IJCV(34), No. 2-3, August 1999, pp. 123-145.
WWW Version. BibRef 9908
Earlier:
3D to 2D Recognition with Regions,
CVPR97(547-553).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704Part-based. pose estimation with region matches. BibRef

Basri, R.[Ronen], Jacobs, D.W.[David W.],
Projective Alignment with Regions,
PAMI(23), No. 5, May 2001, pp. 519-527.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0105 BibRef
Earlier: ICCV99(1158-1164).
WWW Version. Use regions to determine the pose. Planar objects with transformations. When several regions are visible, pose can be recovered even with partial occlusions. BibRef

Montiel, E.[Eugenia], Aguado, A.S.[Alberto S.], Nixon, M.S.[Mark S.],
Improving the Hough Transform gathering process for affine transformations,
PRL(22), No. 9, July 2001, pp. 959-969.
HTML Version. 0106 BibRef

Aguado, A.S.[Alberto S.], Montiel, E.[Eugenia], Nixon, M.S.[Mark S.],
Invariant characterisation of the Hough transform for pose estimation of arbitrary shapes,
PR(35), No. 5, May 2002, pp. 1083-1097.
WWW Version. 0202 BibRef
Earlier: (spelled ization) BMVC00(xx-yy).
PDF Version. 0009 BibRef

Ando, S., Kusachi, Y., Suzuki, A., Arakawa, K.,
Appearance Based Pose Estimation of 3D Object Using Support Vector Regression,
ICIP05(I: 341-344).
WWW Version. 0512 BibRef

Bowden, R., Mitchell, T.A., Sarhadi, M.,
Reconstructing 3d Pose and Motion from a Single Camera View,
BMVC98(xx-yy). BibRef 9800

Shakunaga, T., Ohno, T.,
Successive Pose Clustering for Steroscopic Object Recognition,
MVA98(xx-yy). BibRef 9800

Meilhac, C.[Christophe], Nastar, C.[Chahab],
Robust fitting of 3D CAD models to video streams,
CIAP97(I: 661-668).
WWW Version. 9709 BibRef
And:
A Robust and Precise Approach for Model-Based 3D/2D Registration and Tracking,
SCIA97(xx-yy) 9705
HTML Version. BibRef

Zerroug, M., Nevatia, R.,
Pose Estimation of Multi-Part Curved Objects,
SCV95(431-436).
IEEE Top Reference. BibRef 9500 USC Computer Vision BibRef
And: ARPA96(831-836).
PDF Version. U. of Southern California. Alignment of structured curved objects represented as generalized cylinders. BibRef

Chakravarthy, C.S., and Kasturi, R.,
Pose Clustering on Constraints for Object Recognition,
CVPR91(16-21).
IEEE Abstract. IEEE Top Reference. Basic, use segment features, match using Hough technique. BibRef 9100

Costabile, M.F., Pieroni, G.G.,
Detecting Shape Correspondences by Using the Generalized Hough Transform,
ICPR86(589-591). BibRef 8600

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Grimson Object Recognition Papers .