Birk, J.R.,
A Computation for Robots to Orient and Position Hand Held Workpieces,
SMC(6), No. 10, October 1976, pp. 665-671.
BibRef
7610
Chen, N.,
Birk, J., and
Kelley, R.,
Estimating Workpiece Pose Using the Feature Points Method,
DraftManuscript dated Nov 1, 1978 and a revision.
BibRef
7800
And:
Visually Estimating Workpiece Pose in a Robot Hand
Using the Feature Points Method,
Draft
Camera Calibration.
Point Matching. No notes on publishing.
Match extracted points with feature points (corners and small holes)
in the model.
Technique involves rotating the object in the robot hand after locating it.
BibRef
Birk, J., and
Kelley, R.,
Chen, N.,
Wilson, L.,
Image Feature Extraction Using Diameter Limited Gradient Direction
Histograms,
PAMI(1), No. 2, April 1979, pp. 228-235.
BibRef
7904
Earlier:
PRAI-78(xx).
(Wrong page numbers.)
Extract objects using histograms of edge directions. Find the pose of the
objects.
BibRef
Tella, R.,
Birk, J., and
Kelley, R.,
General Purpose Hands for Bin-Picking Robots,
SMC(12), 1982, pp. 828-837.
BibRef
8200
Dessimoz, J.D.,
Birk, J.,
Kelley, R.,
Martins, H.A.S., and
I, C.L.[Chi Lin],
Matched Filters for Bin Picking,
PAMI(6), No. 6, November 1984, pp. 686-697.
BibRef
8411
Kelley, R.B.,
Birk, J.R.,
Martins, H.A.S.,
Tella, R.,
A Robot System Which Acquires Cylindrical Workpieces from Bins,
SMC(12), 1982, pp. 204-213.
BibRef
8200
Kelley, R.,
Martins, H.A.S.,
Birk, J.,
Dessimoz, J.D.,
Three Vision Algorithms for Acquiring Workpieces from Bins,
PIEEE(71), 1983, pp. 803-820.
BibRef
8300
Birk, J.R., and
Kelley, R.B.,
Badami, V.V.,
Workpiece Orientation Correction with a Robot Arm
Using Visual Information,
IJCAI77(758).
BibRef
7700
Augusteijn, M.F.[Marijke F.], and
Dyer, C.R.,
Recognition and Recovery of the Three-Dimensional Orientation
of Planar Point Patterns,
CVGIP(36), No. 1, October 1986, pp. 76-99.
BibRef
8610
Earlier:
Model-based Shape from Contour and Point Patterns,
CVPR85(100-105).
(Univ. of Colorado at Colorado Springs and Univ. of Wisconsin)
Recognition, Using Shape. Given a known pattern or shape, compute the surface orientation
using an iterative method and no prior correspondence.
BibRef
Horn, B.K.P.,
Closed Form Solutions of Absolute Orientation Using
Orthonormal Matrices,
JOSA-A(5), No. 7, 1987, pp. 1127-1135.
See also Relative Orientation.
BibRef
8700
Horn, B.K.P.,
Closed Form Solutions of Absolute Orientation Using Unit Quaternions,
JOSA-A(4), No. 4, April 1987, pp. 629-642.
BibRef
8704
Linnainmaa, S.[Seppo],
Harwood, D.A.[David],
Davis, L.S.,
Pose Determination of a Three-Dimensional Object Using Triangle Pairs,
PAMI(10), No. 5, September 1988, pp. 634-647.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
8809
Earlier:
Triangle-Based Pose Determination of 3-D Objects,
ICPR86(116-118).
Hough. Pose estimation of a three dimensional object, by a Hough approach using all
6 parameters of the position. Uses triples of points on the object
matched to triples of points on the image. Initial experiments on
simple objects.
BibRef
Pehkonen, K.,
Harwood, D.,
Davis, L.S.,
Parallel Calculation of 3-D Pose of a Known Object in a Single View,
PRL(12), 1991, pp. 353-361.
BibRef
9100
Walker, M.W.,
Shao, L., and
Volz, R.A.,
Estimating 3-D Location Parameters Using Dual Number Quaternions,
CVGIP(54), No. 3, November 1991, pp. 358-367.
WWW Version.
BibRef
9111
Haralick, R.M.,
Joo, H.,
Lee, C.N.,
Zhuang, X.,
Vaidya, V.G., and
Kim, M.B.,
Pose Estimation from Corresponding Point Data,
SMC(19), No. 6, November/December 1989, pp. 1426-1446.
BibRef
8911
Earlier: A1, A3, A4, A5, A6 Only:
CVWS87(258-263).
Pose Estimation, Evaluation. Closed form solutions for 2-D to 2-D and 3-D to 3-D pose
estimations. For perspective 2-D to 3-D, a convergent iterative
solution is given, for 2-D perspective to 2-D perspective, a linear
solution is given. This is also an argument for error analysis and
error propagation analysis.
BibRef
Haralick, R.M.,
Joo, H.,
2D-3D Pose Estimation,
ICPR88(I: 385-391).
WWW Version.
IEEE Top Reference.
BibRef
8800
Umeyama, S.,
Least-Squares Estimation of Transformation
Parameters Between Two Point Patterns,
PAMI(13), No. 4, April 1991, pp. 376-380.
IEEE Abstract. IEEE Top Reference.
WWW Version. Follows from Arun and Horn work.
Parameterized transformations following from:
See also Eigen Decomposition Approach to Weighted Graph Matching Problems, An.
BibRef
9104
Umeyama, S.,
Parameterized Point Pattern Matching and Its
Application to Recognition of Object Families,
PAMI(15), No. 2, February 1993, pp. 136-144.
IEEE Abstract. IEEE Top Reference.
WWW Version. The point positions may be parameterized to allow
for some articulation of the parts.
See also Eigen Decomposition Approach to Weighted Graph Matching Problems, An.
BibRef
9302
Yang, M.C.K.,
Lee, J.S.,
Object Identification From Multiple Images Based on
Point Matching Under A General Transformation,
PAMI(16), No. 7, July 1994, pp. 751-756.
IEEE Abstract. IEEE Top Reference.
WWW Version.
SAR Imagery. Points are 3-D locations from SAR data.
BibRef
9407
Gee, A.,
Cipolla, R.,
Determining the Gaze of Faces in Images,
IVC(12), No. 10, December 1994, pp. 639-647.
WWW Version.
Application, Faces.
Bayes Nets.
Postscript Version.
BibRef
9412
And:
Estimating Gaze from a Single View of a Face,
ICPR94(A:758-760).
WWW Version. Track features to estimate the pose of the face.
BibRef
Gee, A.,
Cipolla, R.,
Fast Visual Tracking by Temporal Consensus,
IVC(14), No. 2, March 1996, pp. 105-114.
WWW Version.
9607
BibRef
Earlier:
Cambridge UniversityTechnical Report CUED/F-INFENG/TR 207.
Postscript Version.
BibRef
Arun, K.S.,
Huang, T.S., and
Blostein, S.D.,
Least-Squares Fitting of Two 3-D Point Sets,
PAMI(9), No. 5, September 1987, pp. 698-700.
This is not strictly motion, but is deriving R
and T when given a pair of matching 3-D points.
BibRef
8709
DeMenthon, D.F., and
Davis, L.S.,
Exact and Approximate Solutions of the
Perspective-Three-Point Problem,
PAMI(14), No. 11, November 1992, pp. 1100-1105.
IEEE Abstract. IEEE Top Reference.
WWW Version. Match image and model triangles to get pose.
BibRef
9211
Oberkampf, D.,
DeMenthon, D.F., and
Davis, L.S.,
Iterative Pose Estimation Using Coplanar Feature Points,
CVIU(63), No. 3, May 1996, pp. 495-511.
9606
WWW Version.
BibRef
Earlier:
Iterative Pose Estimation Using Coplanar Points,
CVPR93(626-627).
IEEE Abstract. IEEE Top Reference.
BibRef
DeMenthon, D.F., and
Davis, L.S.,
Model-Based Object Pose in 25 Lines of Code,
IJCV(15), No. 1-2, June 1995, pp. 123-141.
BibRef
9506
Earlier:
ECCV92(335-343).
WWW Version.
BibRef
And:
DARPA92(753-761).
Of course it is Mathematica code.
BibRef
Krishnan, R.,
Sommer, III, H.J., and
Spidaliere, P.D.,
Monocular Pose of a Rigid Body Using Point Landmarks,
CVGIP(55), No. 3, May 1992, pp. 307-316.
WWW Version. Analysis of the problem and how it is done.
BibRef
9205
Chen, S.W.[Sei-Wang],
Jain, A.K.[Anil K.],
Strategies of Multi-View and Multi-Matching for 3D Object Recognition,
CVGIP(57), No. 1, January 1993, pp. 121-130.
WWW Version.
BibRef
9301
Chen, S.W.[Sei-Wang],
Stockman, G.C.[George C.], and
Shrikhande, N.[Neelima],
Computing a Pose Hypothesis from a Small Set of 3-D Object Features,
MSU-ENGR-87-001, Department of Computer Science,
Michigan State University, 1987.
BibRef
8700
Haralick, R.M.,
Lee, C.N.,
Ottenberg, K., and
Nolle, M.,
Review and Analysis of Solutions of the 3-Point
Perspective Pose Estimation Problem,
IJCV(13), No. 3, December 1994, pp. 331-356.
BibRef
9412
Earlier:
Analysis and Solutions of the Three Point Perspective Pose
Estimation Problem,
CVPR91(592-598).
IEEE Abstract. IEEE Top Reference.
BibRef
Wlczek, P.,
Maccato, A.,
de Figueiredo, R.J.P.,
Pose Estimation Of 3-Dimensional Objects From Single Camera Images,
DSP(5), No. 3, July 1995, pp. 176-183.
BibRef
9507
Wirtz, B., and
Maggioni, C.,
3-D Pose Estimation by an Improved Kohonen-Net,
VF91(593-602).
A Neural-net apporach for self-organizing feature maps.
BibRef
9100
Alter, T.D.,
3-D Pose From 3 Points Using Weak-Perspective,
PAMI(16), No. 8, August 1994, pp. 802-808.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9408
Earlier:
3D Pose from Three Corresponding Points Under
Weak-Perspective Projection,
MIT AI Memo-1378, July 1992.
WWW Version. One feasible solution plus reflection.
BibRef
Huang, T.S.[Thomas S.],
Bruckstein, A.M.[Alfred M.],
Holt, R.J.[Robert J.],
Netravali, A.N.[Arun N.],
Uniqueness of 3D Pose under Weak Perspective: A Geometrical Proof,
PAMI(17), No. 12, December 1995, pp. 1220-1221.
IEEE Abstract. IEEE Top Reference.
WWW Version. Geometric proof of the one feasible solution plus reflection conclusion
of
See also 3-D Pose From 3 Points Using Weak-Perspective. and
See also Recognizing Solid Objects by Alignment with an Image.
BibRef
9512
Bruckstein, A.M.[Alfred M.],
Holt, R.J.[Robert J.],
Huang, T.S.[Thomas S.],
Netravali, A.N.[Arun N.],
Optimum Fiducials Under Weak Perspective Projection,
IJCV(35), No. 3, December 1999, pp. 223-244.
WWW Version.
BibRef
9912
Earlier:
ICCV99(67-72).
WWW Version.
BibRef
Horaud, R.[Radu],
Dornaika, F.[Fadi],
Lamiroy, B.[Bart],
Christy, S.[Stephane],
Object Pose:
The Link Between Weak Perspective, Paraperspective, and Full Perspective,
IJCV(22), No. 2, March 1997, pp. 173-189.
WWW Version.
9706
BibRef
Earlier: A1, A4, A2 only:
TRINRIA, September 1994.
BibRef
Horaud, R.[Radu],
Christy, S.[Stephane],
Dornaika, F.[Fadi],
Lamiroy, B.[Bart],
Object Pose: Links Between Paraperspective and Perspective,
ICCV95(426-433).
WWW Version.
WWW Version.
BibRef
9500
Dornaika, F.[Fadi],
Garcia, C.[Christophe],
Pose Estimation using Point and Line Correspondences,
RealTimeImg(5), No. 3, June 1999, pp. 215-230.
BibRef
9906
Earlier:
Object pose by affine iterations,
CIAP97(I: 478-485).
WWW Version.
9709
BibRef
Gold, S.,
Rangarajan, A.,
Lu, C.P.,
Pappu, S.,
Mjolsness, E.,
New Algorithms for 2D and 3D Point Matching:
Pose Estimation and Correspondence,
PR(31), No. 8, August 1998, pp. 1019-1031.
WWW Version.
9807SoftAssign
BibRef
Liu, Y.H.[Yong-Huai],
Rodrigues, M.A.[Marcos A.],
Statistical image analysis for pose estimation without point
correspondences,
PRL(22), No. 11, September 2001, pp. 1191-1206.
HTML Version.
0108
BibRef
Rodrigues, M.A.,
Liu, Y.,
Distance Constraint Based Iterative Structure and Pose Estimation from
a Single Image,
ICIP00(Vol I: 501-504).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
David, P.[Philip],
DeMenthon, D.F.[Daniel F.],
Duraiswami, R.[Ramani],
Samet, H.[Hanan],
SoftPOSIT: Simultaneous Pose and Correspondence Determination,
IJCV(59), No. 3, September-October 2004, pp. 259-284.
WWW Version.
0405
BibRef
Earlier:
ECCV02(III: 698 ff.).
HTML Version.
0205
BibRef
And:
Simultaneous pose and correspondence determination using line features,
CVPR03(II: 424-431).
IEEE Abstract. IEEE Top Reference.
0307Combine Gold SoftAssign(
See also New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. )
and DeMenthon POSIT (
See also Iterative Pose Estimation Using Coplanar Feature Points. ).
BibRef
David, P.[Philip],
DeMenthon, D.F.[Daniel F.],
Duraiswami, R.[Ramani],
Samet, H.[Hanan],
Evaluation of the Softposit Model-to-image Registration Algorithm,
UMD-- TR4340, July 2002.
WWW Version.
WWW Version.
BibRef
0207
Ude, A.[Ales],
Nonlinear Least Squares Optimisation of Unit Quaternion Functions for
Pose Estimation from Corresponding Features,
ICPR98(Vol I: 425-427).
WWW Version.
9808
BibRef
Jacobs, D.W.,
Optimal Matching of Planar Models in 3D Scenes,
CVPR91(269-274).
IEEE Abstract. IEEE Top Reference. Point features on a flat object to point features in 3-D in an
arbitrary pose. Newer: oriented points require more space
in the indexing scheme.
BibRef
9100
Hel-Or, Y., and
Werman, M.,
Absolute Orientation from Uncertain Point Data: A Unified Approach,
CVPR92(77-82).
IEEE Abstract. IEEE Top Reference. Pose using a model, predicted 3-D from 2-D
BibRef
9200
Wang, Z.,
Jepson, A.D.,
A New Closed-Form Solution for Absolute Orientation,
CVPR94(129-134).
IEEE Abstract. IEEE Top Reference.
BibRef
9400
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Point Pattern Invariants .