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.
Elsevier DOI
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.[George C.],
Object Recognition and Localization via Pose Clustering,
CVGIP(40), No. 3, December 1987, pp. 361-387.
Elsevier DOI
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).
Springer DOI
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 DOI
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 DOI
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).
Springer DOI
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.
Springer DOI
9608
BibRef
Earlier:
Constraint-Fusion for Localization and Interpretation of
Constrained Objects,
CVPR94(39-45).
IEEE DOI
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 DOI
PDF File.
BibRef
9505
Earlier:
Fast Alignment Using Probabilistic Indexing,
CVPR93(387-392).
IEEE DOI
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.
See also Probabilistic Self-Localization for Mobile Robots.
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 DOI 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.
PS File.
BibRef
Olson, C.F.,
Efficient Pose Clustering Using A Randomized Algorithm,
IJCV(23), No. 2, June 1997, pp. 131-147.
DOI Link
HTML Version.
PDF File.
9708
BibRef
Earlier:
On the Speed and Accuracy of Object Recognition When Using
Imperfect Grouping,
SCV95(449-454).
IEEE DOI
BibRef
Earlier:
Time and Space Efficient Pose Clustering,
CVPR94(251-258).
IEEE DOI Cornell University.
BibRef
Olson, C.F.[Clark F.],
Pose Sampling for Efficient Model-Based Recognition,
ISVC07(II: 781-790).
Springer DOI
0711
BibRef
And:
Pose clustering guided by short interpretation trees,
ICPR04(II: 149-152).
IEEE DOI
0409
BibRef
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.
DOI Link
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 DOI 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 Link.
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.
Elsevier DOI
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.
Elsevier DOI
9807
BibRef
Ferryman, J.M.,
Worrall, A.D.,
Sullivan, G.D.,
Baker, K.D.,
A Generic Deformable Model for Vehicle Recognition,
BMVC95(xx-yy).
PDF File.
9509
BibRef
Worrall, A.D.,
Ferryman, J.M.,
Sullivan, G.D.,
Baker, K.D.,
Pose and Structure Recovery using Active Models,
BMVC95(xx-yy).
PDF File.
9509
BibRef
Worrall, A.D.,
Sullivan, G.D.,
Baker, K.D.,
Pose Refinement of Active Models Using Forces in 3D,
ECCV94(A:341-350).
Springer DOI
BibRef
9400
Araújo, 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.
DOI Link
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.
DOI Link
BibRef
9908
Earlier:
3D to 2D Recognition with Regions,
CVPR97(547-553).
IEEE DOI
9704
Part-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 DOI
0105
BibRef
Earlier:
ICCV99(1158-1164).
IEEE DOI 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.
Elsevier DOI
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.
Elsevier DOI
0202
BibRef
Earlier:
(spelled ization)
BMVC00(xx-yy).
PDF File.
0009
BibRef
Jonsson, E.[Erik],
Felsberg, M.[Michael],
Efficient computation of channel-coded feature maps through piecewise
polynomials,
IVC(27), No. 11, 2 October 2009, pp. 1688-1694.
Elsevier DOI
0909
Channel-coded feature maps; Feature histograms; Soft histograms;
Splines; Piecewise polynomials
BibRef
Jonsson, E.[Erik],
Felsberg, M.[Michael],
Accurate Interpolation in Appearance-Based Pose Estimation,
SCIA07(1-10).
Springer DOI
0706
BibRef
Earlier:
Correspondence-free Associative Learning,
ICPR06(II: 441-446).
IEEE DOI
0609
BibRef
Bao, S.Y.Z.[Sid Ying-Ze],
Savarese, S.[Silvio],
Semantic Structure from Motion: A Novel Framework for Joint Object
Recognition and 3D Reconstruction,
WTFCV11(376-397).
Springer DOI
1210
BibRef
Ando, S.,
Kusachi, Y.,
Suzuki, A.,
Arakawa, K.,
Appearance Based Pose Estimation of 3D Object Using Support Vector
Regression,
ICIP05(I: 341-344).
IEEE DOI
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).
Springer DOI
9709
BibRef
And:
A Robust and Precise Approach for Model-Based 3D/2D Registration
and Tracking,
SCIA97(xx-yy)
HTML Version.
9705
BibRef
Zerroug, M.,
Nevatia, R.,
Pose Estimation of Multi-Part Curved Objects,
SCV95(431-436).
IEEE DOI
BibRef
9500
USC Computer Vision
BibRef
And:
ARPA96(831-836).
PDF File. 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 DOI Basic, use segment features, match using Hough technique.
BibRef
9100
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Grimson Object Recognition Papers .