Young, G.S., and
Chellappa, R.,
3-D Motion Estimation Using a Sequence of Noisy Stereo Images:
Models, Estimation, and Uniqueness Results,
PAMI(12), No. 8, August 1990, pp. 735-759.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9008
Earlier:
CVPR88(710-716).
IEEE Abstract. IEEE Top Reference. Closed form solutions using quaternions.
BibRef
Young, G.S., and
Chellappa, R.,
Statistical Analysis of Inherent Ambiguities in Recovering
3-D Motion from a Noisy Flow Field,
PAMI(14), No. 10, October 1992, pp. 995-1013.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9210
Earlier:
ICPR90(I: 371-377).
WWW Version.
BibRef
Chen, H.H.,
Determining Motion and Depth from Binocular Orthographic Views,
CVGIP(54), No. 1, July 1991, pp. 47-55.
WWW Version.
BibRef
9107
Earlier:
Motion And Depth From Binocular Orthographic Views,
ICCV88(634-640).
IEEE Abstract. IEEE Top Reference. The Z value from the stereo estimate is discarded thus giving an
Orthographic projection (X and Y only).
See also Using Motion from Orthographic Views to Verify 3-D Point Matches.
BibRef
Abdel-Mottaleb, M.,
Chellappa, R., and
Rosenfeld, A.,
Binocular Motion Stereo Using MAP Estimation,
CVPR93(321-327).
IEEE Abstract. IEEE Top Reference. From the FOE to displacement to a depth map for axial motion.
BibRef
9300
Huang, T.S., and
Blostein, S.D.,
Robust Algorithms for Motion Estimation Based on
Two Sequential Stereo Image Pairs,
CVPR85(518-523). (Univ. of Illinois)
Motion, Estimation Evaluation. Motion with stereo using simulated data. Error analysis for the
expected range of values, 9 points in the views are needed for good
results. With more authors and a new title, essentially the same
thing is in
BibRef
8500
Motion86(45-46).
BibRef
Blostein, S.D., and
Huang, T.S.,
Estimating 3-D Motion from Range Data,
CAIA84(246-250).
BibRef
8400
Hong, Z., and
Ahuja, N.,
Target Tracking and Cumulative
Depth Map Generation from Binocular Image Sequences,
IAS93(xx-yy).
BibRef
9300
Mitiche, A.[Amar], and
Bouthemy, P.[Patrick],
Tracking Modelled Objects Using Binocular Images,
CVGIP(32), No. 3, December 1985, pp. 384-396.
WWW Version.
BibRef
8512
And:
Representation and Tracking of Point Structures Using Stereovision,
CVWS84(118-124).
Motion, Structure. From INRS-Telecommunications, 3 place du Commerce,
Ile-des-Soeurs, PQ H3E 1H6. Develops a lot of equations to derive
the motion from a given match which comes from stereo pairs. They
assume that the stereo match can be done in a "brute force" manner
- try all possible and choose the best. The camera parameters then
give 3-D positions that are used in the motion match, which are
then used to derive the motion parameters.
BibRef
Meyer, F.G.,
Bouthemy, P.,
Region-Based Tracking Using Affine Motion Models in
Long Image Sequences,
CVGIP(60), No. 2, September 1994, pp. 119-140.
WWW Version.
BibRef
9409
Earlier:
Region-Based Tracking in an Image Sequence,
ECCV92(476-484).
WWW Version.
BibRef
Deriche, R.,
Faugeras, O.D.,
Tracking Line Segments,
IVC(8), No. 4, November 1990, pp. 261-270.
BibRef
9011
Earlier:
ECCV90(259-268).
WWW Version.
BibRef
Zhang, Z.Y., and
Faugeras, O.D.,
Tracking and Grouping 3D Line Segments,
ICCV90(577-580).
WWW Version.
BibRef
9000
Bascle, B.,
Bouthemy, P.,
Deriche, R.,
Meyer, F.,
Tracking Complex Primitives in an Image Sequence,
ICPR94(A:426-431).
WWW Version.
BibRef
9400
Giai-Checa, B.,
Bouthemy, P.,
Vieville, T.,
Segment-Based Detection of Moving Objects in a Sequence of Images,
ICPR94(A:384-389).
WWW Version.
WWW Version.
BibRef
9400
Mutch, K.M.,
Determining Object Translation Information Using Stereoscopic Motion,
PAMI(8), No. 6, November 1986, pp. 750-755.
BibRef
8611
And:
With:
Heiny, L.C.,
Calculating Object Size from Stereoscopic Motion,
CVPR86(183-187).
Matching is eliminated by using a spot on white background. Assume
the measured dimension is parallel to the camera baseline, and
there is translation.
BibRef
Aggarwal, J.K., and
Magee, M.J.,
Determining Motion Parameters Using Intensity Guided Range Sensing,
PR(19), No. 2, 1986, pp. 169-180.
WWW Version.
BibRef
8600
Earlier:
ICPR84(538-541).
Library models are matched to get the rotation and translation
parameters of the object centers which provide the motion
parameters. The other aspect is the intensity and range data
combination work.
See also Experiments in Intensity Guided Range Sensing Recognition of Three-Dimensional Objects.
BibRef
Kim, Y.C., and
Aggarwal, J.K.,
Determining Object Motion in a Sequence of Stereo Images,
RA(3), No. 5, December 1987, pp. 599-614.
See also Positioning Three-Dimensional Objects Using Stereo Images.
BibRef
8712
Zhang, Z.Y., and
Faugeras, O.D.,
3D Dynamic Scene Analysis: A Stereo Based Approach,
SpringerBerlin, Heidelberg, 1992.
BibRef
9200
BookSeveral proposed methods, both long and short sequences. Stereo
results are superior to monocular.
BibRef
Zhang, Z.Y., and
Faugeras, O.D.,
Three-Dimensional Motion Computation and Object Segmentation
in a Long Sequence of Stereo Frames,
IJCV(7), No. 3, April 1992, pp. 211-241.
WWW Version. Track 3-D components and estimate their motion using an extended
Kalman filter. Then group tokens into
objects based on similar motions.
See also Motion of an Uncalibrated Stereo Rig: Self-Calibration and Metric Reconstruction.
BibRef
9204
Zhang, Z.Y., and
Faugeras, O.D.,
Estimation of Displacements from Two 3-D Frames Obtained from Stereo,
PAMI(14), No. 12, December 1992, pp. 1141-1156.
IEEE Abstract. IEEE Top Reference.
WWW Version.
Motion, Lines. Estimate displacement from two stereo frames using lines. It misses
some important multi-frame motion and structure papers. There is a
long bibliography even with these missing papers.
BibRef
9212
Zhang, Z.Y., and
Faugeras, O.D.,
Determining Motion from 3D Line Segment Matches: A Comparative Study,
IVC(9), No. 1, February 1991, pp. 10-19.
WWW Version.
SVD. Since the 3D data is extracted, it is noisy. Compares EKF, general
minimization, and SVD.
BibRef
9102
Zhang, Z.Y.[Zheng-You],
Faugeras, O.D.[Olivier D.],
Finding Planes and Clusters of Objects from 3D Line
Segments with Application to 3D Motion Determination,
CVGIP(60), No. 3, November 1994, pp. 267-284.
WWW Version.
BibRef
9411
Earlier:
Finding clusters and planes from 3D line segments with application to
3D motion determination,
ECCV92(227-236).
WWW Version.
9205Find planes based on clusters of line segments
BibRef
Zhang, Z.Y.[Zheng-You],
Motion and Structure of Four Points from One Motion of
a Stereo Rig with Unknown Extrinsic Parameters,
PAMI(17), No. 12, December 1995, pp. 1222-1227.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9512
And:
Motion of a Stereo Rig: Strong, Weak, and Self-Calibration,
ACCV95(1274-1281).
BibRef
Earlier:
CVPR93(556-561).
IEEE Abstract. IEEE Top Reference. Two stereo pairs, four points, determine camera motion, camera
positions, and structure.
See also Motion of an Uncalibrated Stereo Rig: Self-Calibration and Metric Reconstruction.
BibRef
Zhang, Z.Y.[Zheng-You],
An automatic and robust algorithm for determining motion and structure
from two perspective images,
CAIP95(174-181).
WWW Version.
9509
BibRef
Faugeras, O.D.,
Ayache, N.,
Zhang, Z.Y.,
A Preliminary Investigation of the Problem of Determining
Ego- and Object Motions from Stereo,
ICPR88(I: 242-246).
WWW Version.
IEEE Top Reference.
BibRef
8800
Tsukiyama, T.,
Huang, T.S.,
Motion Stereo for Navigation of Autonomous Vehicles in
Man-Made Environments,
PR(20), No. 1, 1987, pp. 105-113.
WWW Version.
BibRef
8700
Earlier:
ICPR86(165-168).
BibRef
Earlier:
Motion Stereo for Navigation of Autonomous Vehicles in a Passageway,
CVWS85(148-155).
BibRef
Tsukiyama, T.,
Shirai, Y.,
Detection of the Movements of Men for Autonomous Vehicles,
IJCAI79(908-910).
BibRef
7900
Shieh, J.Y.,
Zhuang, H.,
Sudhakar, R.,
Motion Estimation From A Sequence Of Stereo Images: A Direct Method,
SMC(24), No. 7, July 1994, pp. 1044-1053.
BibRef
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Pei, S.C.,
Liou, L.G.,
Finding the Motion, Position and Orientation of a Planar Patch
in 3D Space from Scaled-Orthographic Projection,
PR(27), No. 1, January 1994, pp. 9-25.
WWW Version.
BibRef
9401
Liao, W.H.[Wen-Hung],
Aggarwal, S.J.,
Aggarwal, J.K.,
The Reconstruction of Dynamic 3D Structure of Biological Objects
Using Stereo Microscope Images,
MVA(9), No. 4, 1997, pp. 166-178.
HTML Version.
BibRef
9700
Earlier:
Reconstruction of dynamic 3-D structures of biological objects using
stereo microscopy,
ICIP94(III: 731-735).
WWW Version.
9411
Nonrigid Motion. Image registration by correlation, region of interest using motion based
segmentation, stereo and motion
BibRef
Shih, S.W.,
Hung, Y.P.,
Lin, W.S.,
New Closed-Form Solution for Kinematic Parameter-Identification
of a Binocular Head Using Point Measurements,
SMC-B(28), No. 2, April 1998, pp. 258-267.
IEEE Top Reference.
9804
BibRef
Liao, W.H.,
Aggarwal, J.K.,
Cooperative Matching Paradigm for the Analysis of
Stereo Image Sequences,
IJIST(9), No. 4, 1998, pp. 192-200.
9808
BibRef
Ho, P.K.[Pui-Kuen],
Chung, R.[Ronald],
Stereo-Motion with Stereo and Motion in Complement,
PAMI(22), No. 2, February 2000, pp. 215-220.
IEEE Abstract. IEEE Top Reference.
WWW Version.
0003
BibRef
Earlier:
Stereo-Motion That Complements Stereo and Motion Analyses,
CVPR97(213-218).
IEEE Abstract. IEEE Top Reference.
WWW Version.
9704Decompose 3D, into motions, stereogeometry.
BibRef
Dornaika, F.[Fadi],
Chung, C.R.,
Stereo geometry from 3D ego-motion streams,
SMC-B(33), No. 2, April 2003, pp. 308-323.
IEEE Abstract. IEEE Top Reference.
0308
BibRef
Dornaika, F.[Fadi],
Chung, R.[Ronald],
Cooperative Stereo-Motion: Matching and Reconstruction,
CVIU(79), No. 3, September 2000, pp. 408-427.
0008
WWW Version.
BibRef
Earlier:
Stereo Correspondence from Motion Correspondence,
CVPR99(I: 70-75).
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
Ku, J.S.[Ja Seong],
Lee, K.M.[Kyoung Mu],
Lee, S.U.[Sang Uk],
Multi-image matching for a general motion stereo camera model,
PR(34), No. 9, September 2001, pp. 1701-1712.
WWW Version.
0108
BibRef
Earlier:
ICIP98(II: 608-612).
WWW Version.
9810
BibRef
Heo, Y.S.[Yong Seok],
Lee, K.M.[Kyoung Mu],
Lee, S.U.[Sang Uk],
Illumination and camera invariant stereo matching,
CVPR08(1-8).
WWW Version.
0806
BibRef
Qian, G.[Gang],
Chellappa, R.[Rama],
Zheng, Q.F.[Qin-Fen],
Robust structure from motion estimation using inertial data,
JOSA-A(18), No. 12, December 2001, pp. 2982-2997.
WWW Version.
0201
BibRef
Earlier: A1, A3, A2:
Reduction of Inherent Ambiguities in Structure from Motion Problem
Using Inertial Data,
ICIP00(Vol I: 204-207).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Qian, G.[Gang],
Chellappa, R.,
Zheng, Q.F.[Qin-Fen],
Bayesian structure from motion using inertial information,
ICIP02(III: 425-428).
IEEE Abstract. IEEE Top Reference.
0210Use inertial guidance info to help in the SfM solution.
BibRef
Qian, G.,
Kale, A.,
Chellappa, R.,
Robust Estimation of Motion and Structure Using a Discrete h8 Filter,
ICIP00(Vol III: 616-619).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Qian, G.,
Chellappa, R.,
Zheng, Q.,
Ortolf, J.,
Camera Motion Estimation Using Monocular Image Sequences and Inertial Data,
UMD--TR3997, March 1999.
WWW Version.
WWW Version.
BibRef
9903
Qian, G.[Gang],
Chellappa, R.,
Zheng, Q.,
Robust bayesian cameras motion estimation using random sampling,
ICIP04(II: 1361-1364).
WWW Version.
0505
BibRef
Kaminski, J.Y.[Jeremy Yirmeyahu],
Teicher, M.[Mina],
A General Framework for Trajectory Triangulation,
JMIV(21), No. 1, July 2004, pp. 27-41.
WWW Version.
0409
BibRef
Earlier:
General Trajectory Triangulation,
ECCV02(II: 823 ff.).
HTML Version.
0205Stereo with motion and non-synchronized cameras.
Use the trajectory.
BibRef
Wan, A.S.K.,
Siu, A.M.K.,
Lau, R.W.H.,
Ngo, C.W.,
A robust method for recovering geometric proxy from multiple panoramic
images,
ICIP04(II: 1369-1372).
WWW Version.
05053D motion from wide baseline cameras with noisy matches.
BibRef
Demirdjian, D.[David],
Horaud, R.[Radu],
A Projective Framework for Scene Segmentation in the Presence of Moving
Objects,
CVPR99(I: 2-8).
IEEE Abstract. IEEE Top Reference.
WWW Version. Given a sequence of pairs, and the corresponding points, this is what you
can do.
BibRef
9900
Sparr, G.[Gunnar],
Euclidean and Affine Structure/Motion for Uncalibrated Cameras from
Affine Shape and Subsidiary Information,
SMILE98(xx-yy).
BibRef
9800
Weinshall, D.[Daphna],
Anandan, P.,
Irani, M.[Michal],
From Ordinal to Euclidean Reconstruction with Partial Scene Calibration,
SMILE98(xx-yy).
BibRef
9800
Navab, N.,
Deriche, R., and
Faugeras, O.D.,
Recovering 3D Motion and Structure from Stereo and 2D
Token Tracking Cooperation,
ICCV90(513-516).
WWW Version. Stereo and optical flow, using lines.
BibRef
9000
Waldmann, J.,
Merhav, S.,
Fusion of Stereo and Motion Vision for 3-D Reconstruction,
ICPR92(I:5-8).
WWW Version.
BibRef
9200
Weng, J.,
Huang, T.S.,
Complete Structure and Motion from Two Monocular Sequences
without Stereo Correspondence,
ICPR92(I:651-654).
WWW Version.
BibRef
9200
Gambotto, J.P.,
Determining Stereo Correspondences and Egomotion
from a Sequence of Stereo Images,
ICPR90(I: 259-262).
WWW Version. Trinocular view, motion helps stereo helps motion.
BibRef
9000
Thacker, N.A.,
Zheng, Y., and
Blackbourn, R.,
Using a Combined Stereo/Temporal Matcher to Determine Ego-motion,
BMVC90(121-126).
Matches based on second derivatives at corners.
BibRef
9000
Asada, M.[Minoru],
Tsuji, S.[Saburo],
Inferring Motion of Cylindrical Object from Shape Information,
IJCAI83(1032-1034).
BibRef
8300
And:
Inferring Motion of Cylindrical Object from Shading,
CVPR83(240-245).
Shading information is used to segment the scene (synthetic images
are used). The motion can be derived by matching.
(
See also Automatic Analysis of Moving Images. )
BibRef
Tsuji, S.,
Morizono, A.,
Kuroda, S.,
Understanding a Simple Cartoon Film by a Computer Vision System,
IJCAI77(609-610).
BibRef
7700
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Using Depth Information .