16.2.4 Motion Estimates Using 5 or More Frames

Chapter Contents (Back)
Motion, Tracking. Tracking. Sequences. Motion, Five Frames. Motion, Many Frames.

Spetsakis, M.E.[Minas E.],
A Linear Algorithm for Point and Line-Based Structure from Motion,
CVGIP(56), No. 2, September 1992, pp. 230-241.
Elsevier DOI The "long sought" linear algorithm for the point and line correspondence problem. Requires 3 frames and enough point and line correspondences. BibRef 9209

Spetsakis, M.E.[Minas E.],
Getting Around the Aperture Problem Using Point and Line Correspondences,
Motion91(236-241). BibRef 9100

Spetsakis, M.E.[Minas E.], Aloimonos, Y.,
Structure from Motion Using Line Correspondences,
IJCV(4), No. 3, 1990, pp. 171-183.
Springer DOI BibRef 9000
Earlier:
Closed Form Solution to the Structure from Motion Problem from Line Correspondences,
AAAI-87(738-743). BibRef

Spetsakis, M.E., Aloimonos, Y.,
Optimal Computing of Structure from Motion Using Point Correspondences in Two Frames,
ICCV88(449-453).
IEEE DOI BibRef 8800

Spetsakis, M.E., and Aloimonos, Y.,
A Multi-frame Approach to Visual Motion Perception,
IJCV(6), No. 3, August 1991, pp. 245-255.
Springer DOI By using rigidity and a minimization of the squared error find motion interpretation. BibRef 9108

Baker, P.[Patrick], Aloimonos, Y.[Yiannis],
Structure from Motion of Parallel Lines,
ECCV04(Vol IV: 229-240).
Springer DOI 0405
BibRef

Azarbayejani, A., Pentland, A.P.,
Recursive Estimation of Motion, Structure, and Focal Length,
PAMI(17), No. 6, June 1995, pp. 562-575.
IEEE DOI BibRef 9506
And: Vismod--243, 1993. Motion and point structures and focal length of points tracked through the sequence.
HTML Version. BibRef

Jebara, T.[Tony], Azarbayejani, A.[Ali], and Pentland, A.P.[Alex P.],
3D Structure from 2D Motion,
SPMag(16), No. 3, May 1999, pp. 66-84. BibRef 9905
And: Vismod--523. May 1999.
HTML Version. Images of people. BibRef

Azarbayejani, A., Pentland, A.P.,
Real-Time Self-Calibrating Stereo Person Tracking Using 3-D Shape Estimation from Blob Features,
ICPR96(III: 627-632).
IEEE DOI 9608
(MIT, USA) BibRef

Azarbayejani, A., Horowitz, B., and Pentland, A.P.,
Recursive Estimation of Structure and Motion Using Relative Orientation Constraints,
CVPR93(294-299).
IEEE DOI BibRef 9300

Darrell, T.J., Azarbayejani, A., Pentland, A.P.,
Robust Estimation of Multiple Models in the Structure from Motion Domain,
Vismod-281, 1994.
HTML Version. BibRef 9400

Heyden, A.[Anders],
Reconstruction from Image Sequences by Means of Relative Depths,
IJCV(24), No. 2, September 1997, pp. 155-161.
DOI Link 9710
BibRef
Earlier: ICCV95(1058-1063).
IEEE DOI Award, Marr Prize, HM. Reformulate the 2 frame case to get only 4 parameters, for 3 images it depends on 9 parameters, generallized for more. BibRef

Taylor, C.J., Kriegman, D.J.,
Structure and Motion from Line Segments in Multiple Images,
PAMI(17), No. 11, November 1995, pp. 1021-1032.
IEEE DOI
PDF File. BibRef 9511
Earlier: CRA92(1615-1621). BibRef

Taylor, C.J., Kriegman, D.J., and Anandan, P.,
Structure and Motion in Two Dimensions from Multiple Images: A Least Squares Approach,
Motion91(242-248). 2-D, Indoor motion using location of vertical lines. BibRef 9100

Lee, S., and Kay, Y.,
A Kalman Filter Approach for Accurate 3-D Motion Estimation from a Sequence of Stereo Images,
CVGIP(54), No. 2, September 1991, pp. 244-258.
Elsevier DOI Kalman Filter. Quaternion. BibRef 9109
Earlier: ICPR90(I: 104-108).
IEEE DOI 9006
BibRef
And:
An accurate estimation of 3-D position and orientation of a moving object for robot stereo vision: Kalman filter approach,
CRA90(II: 414-419). Uses error in 3-D due to image positions, quaternions and Kalman filter approach. BibRef

Hu, X.P.[Xiao-Ping], Ahuja, N.[Narendra],
Motion and Structure Estimation Using Long Sequence Motion Models,
IVC(11), No. 9, November 1993, pp. 549-569.
Elsevier DOI Points. See also Mirror Uncertainty and Uniqueness Conditions for Determining Shape and Motion from Orthographic Projection. BibRef 9311

Hu, X.P., and Ahuja, N.,
Motion Estimation under Orthographic Projection,
RA(7), No. 6, June 1991, pp. 848-853. BibRef 9106

Hu, X.P., Ahuja, N.,
Estimating Motion of Constant Acceleration from Image Sequences,
ICPR92(I:655-659).
IEEE DOI BibRef 9200

Sull, S., and Ahuja, N.,
Integrated 3-D Analysis and Analysis-Guided Synthesis of Flight Image Sequences,
PAMI(16), No. 4, April 1994, pp. 357-372.
IEEE DOI BibRef 9404
Earlier:
Integrated 3D Analysis of Flight Image Sequences,
ECCV94(A:211-216).
Springer DOI BibRef
And:
Integrated 3D Recovery and Visualization of Flight Image Sequences,
DARPA92(473-477). Generating 3-D surfaces from a sequence. Analysis of errors at different resolutions for point, line and region techniques. Integrated is best (regions at low and points at high resolutions). BibRef

Sull, S., Ahuja, N.,
Integrated Matching and Segmentation of Multiple Features in Two Views,
CVIU(62), No. 3, November 1995, pp. 279-297.
DOI Link Segment so that all features in each segment have the same 3D motion. Divide into two 3D spaces (the 6 paraters for motion) and search each. Matches Line features. BibRef 9511

Sull, S., Ahuja, N.,
Estimation and segmentation of displacement field using multiple features,
ICIP94(III: 53-57).
IEEE DOI 9411
BibRef

Sull, S., and Ahuja, N.,
Estimation of Motion and Structure of Planar Surfaces from a Sequence of Monocular Images,
CVPR91(732-733).
IEEE DOI BibRef 9100
Earlier:
Segmentation, Matching and Estimation of Structure and Motion of Textured Piecewise Planar Surfaces,
Motion91(274-279). Motion, Regions. Estimate 10 parameters of motion and structure for planar patches. BibRef

Wu, J.J., Rink, R.E., Caelli, T.M., and Gourishankar, V.G.,
Recovery of the 3-D Location and Motion of a Rigid Object Through Camera Image (An Extended Kalman Filter Approach),
IJCV(2), No. 4, April 1989, pp. 373-394.
Springer DOI Kalman Filter. Match corners, find the location and motion using an EKF model. BibRef 8904

Tseng, G.J., and Sood, A.K.,
Analysis of Long Image Sequence for Structure and Motion Estimation,
SMC(19), No. 6, Nov/Dec 1989, pp. 1511-1526. Motion, Structure. Three points in each frame, iterative update of the motion parameters from later frames. BibRef 8911

Yasumoto, Y., and Medioni, G.G.,
Robust Estimation of 3-D Motion Parameters from a Sequence of Image Frames Using Regularization,
PAMI(8), No. 4, July 1986, pp. 464-471. BibRef 8607 USC Computer Vision BibRef
Earlier: A2, A1: DARPA85(117-128). Regularization. Exploration of summing the results from several images, regularization is needed to reduce the total errors. The results are on synthetic data. Expansion of the CVPR85 paper with author switched. BibRef

Yasumoto, Y.[Yoshio], and Medioni, G.G.,
Experiments in Estimation of 3-D Motion Parameters from a Sequence of Image Frames,
CVPR85(89-94). BibRef 8500 USC Computer Vision BibRef

Ullman, S.,
The Incremental Rigidity Scheme and Long-Range Motion Correspondence,
MU88(227-267). BibRef 8800
And:
Maximizing Rigidity: The Incremental Recovery of 3-D Structure from Rigidity and Rubbery Motion,
Perception(13), 1984, pp. 255-274. BibRef
Earlier: MIT AI Memo-721, June 1983. Motion, Structure. This introduces the long/short range names. The incremental method adds the results from more points as they are available in a successive approximation scheme. BibRef

Ullman, S.,
The Correspondence Process in Motion Perception,
DARPA78(73-86). BibRef 7800

Yuille, A.L.[Alan L.], Ullman, S.[Shimon],
Rigidity and Smoothness of Motion,
MIT AI Memo-989, November 1987.
WWW Link. BibRef 8711

Yuille, A.L.,
The Smoothest Velocity Field and Token Matching Schemes,
MIT AI Memo-724, August 1983.
WWW Link. BibRef 8308

Weng, J., Cui, Y.T., Ahuja, N.,
Transitory Image Sequences, Asymptotic Properties, and Estimation of Motion and Structure,
PAMI(19), No. 5, May 1997, pp. 451-464.
IEEE DOI 9705
No element is visible through the entire sequence. Theoretical analysis of Camera Centered and World Centered approaches. BibRef

Cui, N., Weng, J.J., Cohen, P.,
Recursive-Batch Estimation of Motion and Structure from Monocular Image Sequences,
CVGIP(59), No. 2, March 1994, pp. 154-170.
DOI Link BibRef 9403
Earlier:
Extended Structure and Motion Analysis from Monocular Image Sequences,
ICCV90(222-229).
IEEE DOI For Stereo: See also Motion and Structure from Long Stereo Image Sequences. BibRef

Pei, S.C.[Soo-Chang], Liou, L.G.[Lin-Gwo],
Rigid Motion and Structure from Several Sets of Parallel Lines in a Monocular Image Sequence,
PR(27), No. 11, November 1994, pp. 1475-1491.
Elsevier DOI BibRef 9411

Vieville, T.[Thierry], Faugeras, O.D.[Olivier D.],
The First-Order Expansion of Motion Equations in the Uncalibrated Case,
CVIU(64), No. 1, July 1996, pp. 128-146.
DOI Link 9608
BibRef
Earlier:
Motion Analysis with a Camera with Unknown, and Possibly Varying Intrinsic Parameters,
ICCV95(750-756).
IEEE DOI Small motions, given point correspondences, monocular. See also Self-Calibration from Four Views with Possibly Varying Intrinsic Parameters. See also Using Specific Displacements to Analyze Motion without Calibration. BibRef

Sanchiz, J.M., Pla, F., Marchant, J.A., Brivot, R.,
Structure-from-Motion Techniques Applied to Crop Field-Mapping,
IVC(14), No. 5, June 1 1996, pp. 353-363.
Elsevier DOI 9607
Application, Crops. BibRef

Chaudhuri, S., Sharma, S., Chatterjee, S.,
Recursive Estimation of Motion Parameters,
CVIU(64), No. 3, November 1996, pp. 434-442.
DOI Link 9612
See also Motion Analysis of a Homogeneously Deformable Object Using Subset Correspondences. BibRef

Lee, C.H.[Chia-Hoang],
Computing Three-Dimensional Motion Parameters: A Hypothesis Testing Approach,
IVC(11), No. 3, April 1993, pp. 145-154.
Elsevier DOI BibRef 9304

Kenner, M., Pong, T.C.,
Motion Analysis of Long Image Sequence Flow,
PRL(11), 1990, pp. 123-131. BibRef 9000

Henriksen, K., Arnspang, J.,
Direct Determination of the Orientation of a Translating 3D Straight Line,
PRL(10), 1989, pp. 251-258. BibRef 8900

Arnspang, J.,
Direct determination of a non-accelerating greylevel scene,
ICPR90(I: 319-323).
IEEE DOI 9006
BibRef

Atherton, T.J.,
The Detection and Measurement of Visual Motion,
PRL(5), 1987, pp. 169-173. BibRef 8700

Szeliski, R.S., Kang, S.B.,
Shape Ambiguities In Structure-From-Motion,
PAMI(19), No. 5, May 1997, pp. 506-512.
IEEE DOI 9705
BibRef
Earlier: no - in title: ECCV96(I:709-721). BibRef
And:
Springer DOI DEC-CRL-96-1, January 1996.
HTML Version. Examines fundamental abmiguities. For orthographic cameras, bas-releif ambiguity is significant unless there is rotation. For perspective cameras, large rotation and three or more frames are required. BibRef

Kang, S.B.[Sing Bing], Szeliski, R.S.[Richard S.],
Extracting View-Dependent Depth Maps from a Collection of Images,
IJCV(58), No. 2, July 2004, pp. 139-163.
DOI Link 0403
BibRef

Kang, S.B.[Sing Bing], Johnson, A.E.[Andrew E.], and Szeliski, R.S.[Richard S.],
Extracting Concise and Realistic 3-D Models from Real Data,
DEC-CRL-95-7, October, 1995.
HTML Version. BibRef 9510

Jayakumar, M., Banavar, R.N.,
Risk Sensitive Filters for Recursive Estimation of Motion from Images,
PAMI(20), No. 6, June 1998, pp. 659-666.
IEEE DOI 9807
Similar to Extended Kalman Filter approaches. Simulation results only. BibRef

Soatto, S., Perona, P.,
Reducing Structure-From-Motion: A General Framework For Dynamic Vision Part 1: Modeling,
PAMI(20), No. 9, September 1998, pp. 933-942.
IEEE DOI 9809
BibRef

Soatto, S.[Stefano], Perona, P.[Pietro],
Reducing Structure-From-Motion: A General Framework for Dynamic Vision Part 2: Implementation And Experimental Assessment,
PAMI(20), No. 9, September 1998, pp. 943-960.
IEEE DOI 9809
BibRef
And: Corrections: PAMI(20), No. 10, October 1998, pp. 1117. BibRef
Earlier:
Reducing Structure from Motion: A General Framework for Dynamic Vision with Experimental Evaluation,
CVPR96(825-832).
IEEE DOI BibRef

Soatto, S.[Stefano],
A geometric framework for dynamic vision,
Ph.D.Thesis, 1996, Caltech. BibRef 9600

Soatto, S., Perona, P., Frezza, R., and Picci, G.,
Recursive Motion and Structure Estimation with Complete Error Characterization,
CVPR93(428-433).
IEEE DOI Integration over time of the 2 view motion estimates. BibRef 9300

Soatto, S.[Stefano], Perona, P.[Pietro],
Motion from Fixation,
RealTimeImg(3), 1997, pp. xx-yy. BibRef 9700
Earlier: CVPR96(817-824).
IEEE DOI Epipolar geometry. BibRef

Soatto, S.[Stefano], Perona, P.[Pietro],
Dynamic Rigid Motion Estimation from Weak Perspective,
ICCV95(321-328).
IEEE DOI Motion of shallow structures. BibRef 9500

Soatto, S., Frezza, R., Perona, P.,
Motion estimation via dynamic vision,
AC(41), No. 3, 1996, pp.393-413. BibRef 9600
Earlier:
Motion Estimation on the Essential Manifold,
ECCV94(B:60-72).
Springer DOI BibRef

Kim, E.T.[Eung Tae], Kim, H.M.[Hyung-Myung],
Efficient Linear 3-Dimensional Camera Motion Estimation Method with Applications to Video Coding,
OptEng(37), No. 3, March 1998, pp. 1065-1077. 9804
BibRef

Kim, E.T.[Eung Tae], Kim, H.M.[Hyung-Myung],
Recursive total least squares algorithm for 3-D camera motion estimation from image sequences,
ICIP98(I: 913-917).
IEEE DOI 9810
BibRef

Kim, E.T.[Eung Tae], Han, J.K.[Jong-Ki], Kim, H.M.[Hyung-Myung],
A Kalman Filtering Method for 3-D Camera Motion Estimation from Image Sequences,
ICIP97(III: 630-633).
IEEE DOI 9710
BibRef

Giachetti, A.,
Matching techniques to compute image motion,
IVC(18), No. 3, February 2000, pp. 247-260.
Elsevier DOI 0001
BibRef

Avidan, S.[Shai], Shashua, A.[Amnon],
Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence,
PAMI(22), No. 4, April 2000, pp. 348-357.
IEEE DOI 0006
BibRef
Earlier:
Trajectory Triangulation of Lines: Reconstruction of a 3D Point Moving Along a Line from a Monocular Image Sequence,
CVPR99(II: 62-66).
IEEE DOI Object moving in a straight line, and camera moving. Reconstruct the object. BibRef

Papadimitriou, T., Diamantaras, K.I., Strintzis, M.G., Roumeliotis, M.,
Robust Estimation of Rigid-Body 3-D Motion Parameters Based on Point Correspondences,
CirSysVideo(10), No. 4, June 2000, pp. 541-549.
IEEE Top Reference. 0006
BibRef

Diamantaras, K.I., Papadimitriou, T., Strintzis, M.G., Roumeliotis, M.,
Total least squares 3-D motion estimation,
ICIP98(I: 923-927).
IEEE DOI 9810
BibRef

Diamantaras, K.I., Strintzis, M.G.,
Camera motion parameter recovery under perspective projection,
ICIP96(III: 807-810).
IEEE DOI 9610
BibRef

Papadimitriou, T., Diamantaras, K.I., Strintzis, M.G., Roumeliotis, M.,
Video Scene Segmentation Using Spatial Contours and 3-D Robust Motion Estimation,
CirSysVideo(14), No. 4, April 2004, pp. 485-497.
IEEE Abstract. 0407
BibRef

Oliensis, J.[John],
A Multi-Frame Structure-from-Motion Algorithm under Perspective Projection,
IJCV(34), No. 2-3, August 1999, pp. 163-192.
DOI Link
PS File. BibRef 9908
Earlier:
Multiframe Structure from Motion in Perspective,
RVS95(xx). BibRef

Oliensis, J.[John],
Computing the Camera Motion Direction from Many Images,
3DPVT06(519-526).
IEEE DOI 0606
See also Fast and Accurate Algorithms for Projective Multi-Image Structure from Motion. BibRef

Oliensis, J.A.,
Recovering Heading and Structure for Constant-Direction Motion,
NECITR, April 2000.
PS File. BibRef 0004
Earlier:
Computing the Camera Heading from Multiple Frames,
CVPR98(203-210).
IEEE DOI BibRef

Thomas, J.I.[J. Inigo], Oliensis, J.[John],
Dealing with Noise in Multiframe Structure from Motion,
CVIU(76), No. 2, November 1999, pp. 109-124.
DOI Link 9911
BibRef
Earlier:
Recursive Multi-Frame Structure from Motion Incorporating Motion Error,
DARPA92(507-513). BibRef
Earlier: A2, A1:
Incorporating Motion Error in Multi-Frame Structure from Motion,
Motion91(8-13). Use the motion error to correct the results, a sequence process. BibRef

Oliensis, J.[John], Genc, Y.[Yacup],
Fast and Accurate Algorithms for Projective Multi-Image Structure from Motion,
PAMI(23), No. 6, June 2001, pp. 546-559.
IEEE DOI and
PS File. 0106
BibRef
Earlier:
Fast Algorithms for Projective Multi-Frame Structure from Motion,
ICCV99(536-543).
IEEE DOI "Essentially" linear, moderate motion, accuracy similar to maximum-likelyhood estimates. Better results than the Sturm/Triggs ( See also Factorization Based Algorithm for Multi-Image Projective Structure and Motion, A. ) factorization approach. See also New Algorithms for Two-Frame Structure from Motion. BibRef

Oliensis, J.[John],
Structure from Linear or Planar Motions,
CVPR96(335-342).
IEEE DOI
PS File. BibRef 9600

Oliensis, J.[John],
Direct Multi-frame Structure from Motion for Hand-held Cameras,
ICPR00(Vol I: 889-895).
IEEE DOI
PS File. 0009
Extension of See also Fast and Accurate Algorithms for Projective Multi-Image Structure from Motion. to a direct method. BibRef

Oliensis, J.[John],
The Error Surface for Structure from Motion,
TRNEC, August 2001.
PS File. BibRef 0108

Oliensis, J.[John], Werman, M.[Michael],
Structure from Motion using Points, Lines, and Intensities,
CVPR00(II: 599-606).
IEEE DOI
PS File. 0005
Factorization like approach with lines. BibRef

Oliensis, J.[John],
A Linear Solution for Multiframe Structure from Motion,
ARPA94(II:1225-1231).
PS File. General motions. BibRef 9400

Bayro-Corrochano, E.[Eduardo], Zhang, Y.W.[Yi-Wen],
The Motor Extended Kalman Filter: A Geometric Approach for Rigid Motion Estimation,
JMIV(13), No. 3, December 2000, pp. 205-228.
DOI Link 0106
BibRef

Martínez Montiel, J.M.[José María], Montano, L.,
Probabilistic structure from camera location using straight segments,
IVC(17), No. 3/4, March 1999, pp. 263-279.
Elsevier DOI BibRef 9903

Martínez Montiel, J.M.[José María], Tardós, J.D., Montano, L.,
Structure and motion from straight line segments,
PR(33), No. 8, August 2000, pp. 1295-1307.
Elsevier DOI 0005
BibRef

Pang, C.Y.C.[Chung-Yi Chan], Guesalaga, A.R.[Andrés R.], Roda, V.O.[Valentín Obac],
Robust estimation of 3D trajectories from a monocular image sequence,
IJIST(12), No. 3, 2002, pp. 128-137. 0210
BibRef

Liu, Y.C.[Yun-Cai], Zhang, X.Y.[Xiao-Yun], Huang, T.S.[Thomas S.],
Estimation of 3D structure and motion from image corners,
PR(36), No. 6, June 2003, pp. 1269-1277.
Elsevier DOI 0304
BibRef
Earlier: A2, A1, A3:
Determining 3D structure and motion of man-made objects from image corners,
Southwest02(26-30).
IEEE Top Reference. 0208
BibRef

Bazin, P.L., Vézien, J.M.,
Integration of Geometric Elements, Euclidean Relations, and Motion Curves for Parametric Shape and Motion Estimation,
PAMI(27), No. 12, December 2005, pp. 1960-1976.
IEEE DOI 0512
BibRef
Earlier:
Motion Curves for Parametric Shape and Motion Estimation,
ECCV02(II: 262 ff.).
Springer DOI 0205
Smooth camera trajectories. Observed features in terms of sharing Euclidean relationships. BibRef

Bing, C.[Cheng], Ying, W.[Wang], Zheng, N.N.[Nan-Ning], Bian, Z.Z.[Zheng-Zhong],
An Efficient 3d Plenoptic Representation For Approximating A Path Of Motion To A Curved Line,
IJIG(5), No. 2, April 2005, pp. 397-412. 0504
BibRef

Sand, P.[Peter], Teller, S.J.[Seth J.],
Video Matching,
ToG(23), 2004, No. 3, pp. 592-599. BibRef 0400

Sand, P.[Peter], Teller, S.J.[Seth J.],
Particle Video: Long-Range Motion Estimation Using Point Trajectories,
IJCV(80), No. 1, October 2008, pp. xx-yy.
Springer DOI 0809
BibRef
Earlier: CVPR06(II: 2195-2202).
IEEE DOI 0606
Video motion estimation, Optical flow, Feature tracking. Track image point through time. BibRef

Park, H.S.[Hyun Soo], Shiratori, T.[Takaaki], Matthews, I.D.[Iain D.], Sheikh, Y.[Yaser],
3D Trajectory Reconstruction under Perspective Projection,
IJCV(115), No. 2, November 2015, pp. 115-135.
Springer DOI 1511
BibRef
Earlier:
3D Reconstruction of a Moving Point from a Series of 2D Projections,
ECCV10(III: 158-171).
Springer DOI 1009
Linear solution for 3D tramectory of point. BibRef


Bourmaud, G.[Guillaume], Giremus, A.[Audrey],
Robust Wearable Camera Localization as a Target Tracking Problem on SE(3),
BMVC15(xx-yy).
DOI Link 1601
BibRef

Bourmaud, G.[Guillaume], Mégret, R.[Rémi], Giremus, A.[Audrey], Berthoumieu, Y.[Yannick],
Global Motion Estimation from Relative Measurements in the Presence of Outliers,
ACCV14(V: 366-381).
Springer DOI 1504
BibRef
And:
Global motion estimation from relative measurements using iterated extended Kalman filter on matrix LIE groups,
ICIP14(3362-3366)
IEEE DOI 1502
Algebra BibRef

Vidal, R.[René], Abretske, D.[Daniel],
Nonrigid Shape and Motion from Multiple Perspective Views,
ECCV06(II: 205-218).
Springer DOI 0608
Why stop at 2 and 3 image constraints, go to multi-image constraints. 5 views, related by tensor from which linearly compute shape and motion. BibRef

Smith, P., Drummond, T.W., Roussopoulos, K.,
Computing MAP Trajectories by Representing, Propagating and Combining PDFs Over Groups,
ICCV03(1275-1282).
IEEE DOI 0311
Compute camera trajectories from sparse data. BibRef

Govindu, V.M.[Venu Madhav],
Robustness in Motion Averaging,
ACCV06(II:457-466).
Springer DOI 0601
BibRef
Earlier:
Lie-algebraic averaging for globally consistent motion estimation,
CVPR04(I: 684-691).
IEEE DOI 0408
BibRef

Govindu, V.M.[Venu Madhav],
Combining Two-view Constraints for Motion Estimation,
CVPR01(II:218-225).
IEEE DOI 0110
Combine series of pairwise motion models. BibRef

Seo, Y.D.[Yong-Duek], Hong, K.S.[Ki-Sang],
Structure and Motion Estimation with Expectation Maximization and Extended Kalman Smoother for Continuous Image Sequences,
CVPR01(I:1148-1154).
IEEE DOI 0110
EKF approach to real time estimation. BibRef

Steedly, D., Essa, I.A., Dellaert, F.,
Spectral partitioning for structure from motion,
ICCV03(996-1003).
IEEE DOI 0311
BibRef

Steedly, D.[Drew], Essa, I.A.[Irfan A.],
Propagation of Innovative Information in Non-Linear Least-Squares Structure from Motion,
ICCV01(II: 223-229).
IEEE DOI 0106
Incorporate the new information from each new frame without optimizing everything. BibRef

Steinbach, E.G.[Eckehard G.], Girod, B.[Bernd],
An Image-domain Cost Function for 3-d Rigid Body Motion Estimation,
ICPR00(Vol III: 815-818).
IEEE DOI 0009
For calibrated object motion. BibRef

McLauchlan, P.F.[Philip F.],
A Batch/Recursive Algorithm for 3D Scene Reconstruction,
CVPR00(II: 738-743).
IEEE DOI 0005
BibRef

Alon, J.[Jonathan], Sclaroff, S.[Stan],
Recursive Estimation of Motion and Planar Structure,
CVPR00(II: 550-556).
IEEE DOI 0005
See also Recursive Estimation of Motion, Structure, and Focal Length. BibRef

Tan, J.K., Kawabata, S., Ishikawa, S.,
An Efficient Technique for Motion Recovery Based on Multiple Views,
MVA98(xx-yy). BibRef 9800

Rachidi, T., and Spacek, L.,
Motion from Ordered Sets of Curvature Points,
SCIA97(xx-yy)
HTML Version. 9705
BibRef
Earlier:
Constructing Coherent Boundaries,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Rachidi, T., Spacek, L.,
Boundary-based Correspondence Computation Using the Topology Constraint,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Roy, S., Cox, I.J.,
Motion without Structure,
ICPR96(I: 728-734).
IEEE DOI 9608
(NEC Res. Institute, Inc., USA) BibRef

Thirion, E.[Eric], and Ronse, C.[Christian],
Self Calibration and 3D Reconstruction from Lines with a Single Translating Camera,
BMVC96(Poster Session 2). 9608
Universite Louis Pasteur BibRef
And: LSIIT report ERII-RR96/06 Univ. of StrasbourgA simple method for the 3D reconstruction of a scene with a single translating camera and without calibration, based on lines and requires three images.
PS File. Or
WWW Link. and follow the link to reports. 9605
BibRef

Beardsley, P.A.[Paul A.],
Hand-held 3D vision system,
US_Patent6,781,618, Aug 24, 2004
WWW Link. BibRef 0408

Beardsley, P.A., Torr, P.H.S., Zisserman, A.,
3D Model Acquisition from Extended Image Sequences,
ECCV96(II:683-695).
Springer DOI BibRef 9600

McLauchlan, P.F., Reid, I.D., Murray, D.W.,
Recursive Affine Structure and Motion from Image Sequences,
ECCV94(A:217-224).
Springer DOI See also Saccade and Pursuit on an Active Head Eye Platform. BibRef 9400

Murray, D.W., Pickup, D.M.,
Recursive Updating of Planar Motion,
BMVC91(xx-yy).
PDF File. 9109
BibRef

McLauchlan, P.F.[Philip F.], Murray, D.W.[David W.],
A Unifying Framework for Structure and Motion Recovery from Image Sequences,
ICCV95(314-320).
IEEE DOI
HTML Version. optimally compute structure from the sequence. BibRef 9500

Pavlin, I.,
Motion from a Sequence of Images,
DARPA88(930-937). Generate a solution of the motion with some strict assumptions that do not seem to hold. (5 frames?) The paper needs work. BibRef 8800

Wu, T.H., and Chellappa, R.,
Stereoscopic Recovery of Egomotion and Structure: Models, Uniqueness and Experimental Results,
ICPR94(A:645-648).
IEEE DOI BibRef 9400

Wu, T.H., and Chellappa, R.,
3-D Recovery of Structural and Kinematic Parameters from Long Sequences of Noisy Images,
DARPA93(641-651). More on using long sequences for depth. BibRef 9300

Wu, T.H., Young, G.S., and Chellappa, R.,
A Simple Kinematic Model Based Approach for 3-D Motion and Structure Estimation,
Draft1993, Formulate both binocular and monocular motion and structure estimates in terms of leas-squars minimization with both batch and recursive formulations. This is a simplified model compared to Broida. BibRef 9300

Wheeler, M.D.[Mark D.], Ikeuchi, K.[Katsushi],
Iterative Estimation of Rotation and Translation using the Quaternion,
CMU-CS-TR-95-215, December 1995.
PS File. BibRef 9512

LeGuilloux, Y.,
Structure from Motion, Acceleration and Taylor Series,
CVPR86(400-402). BibRef 8600
And:
Determination Automatique du Mouvement dans une Sequence d'Images. Interet pour l'Interpretation,
Ph.D.Ecole Nationale Superierure Des Telecommunications, June 1984. Approximations with a few terms of the series for the true parameters. BibRef

LeGuilloux, Y.,
A Matching Algorithm for Horizontal Motion: Application to Tracking,
ICPR86(1190-1192). BibRef 8600

Thomas, I., Simoncelli, E.P., Bajcsy, R.,
Linear Structure From Motion,
UPennDecember 1994 GRASP Laboratory Technical Report MS-CIS-94-61. BibRef 9412

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Shariat and Related Papers .


Last update:Sep 18, 2017 at 11:34:11