Snyder, M.A.,
The Precision of 3-D Parameters in Correspondence-Based Techniques:
The Case of Uniform Translational Motion in a Rigid Environment,
PAMI(11), No. 5, May 1989, pp. 523-528.
IEEE DOI
BibRef
8905
Earlier:
Uncertainty Analysis of Image Measurements,
DARPA87(681-693).
BibRef
And:
The Accuracy of 3D Parameters in Correspondence-Based Techniques:
Startup and Updating,
Motion86(53-59).
BibRef
And:
The Accuracy of 3D Parameters in Correspondence-Based Techniques,
COINSTR 86-28, UMass., July 1986.
Motion, Structure Evaluation. Discussion of the errors that arise from errors in the measurements
of point locations. Nothing really new, just a lot of equations.
BibRef
Bhanu, B.,
Symosek, P.F.,
Ming, J.,
Burger, W.,
Nasr, H., and
Kim, J.,
Qualitative Target Motion Detection and Tracking,
DARPA89(370-398).
BibRef
8900
Earlier: A1, A3 only:
Qualitative Motion Detection and Tracking of Targets from a
Mobile Platform,
DARPA88(289-318).
BibRef
Nasr, H.,
Bhanu, B.,
Schaffer, S.,
Guiding an Autonomous Land Vehicle Using Knowledge-Based
Landmark Recognition,
DARPA87(432-439).
BibRef
8700
Burger, W.[Wilhelm],
Bhanu, B.[Bir],
Estimating 3-D Egomotion from Perspective Image Sequences,
PAMI(12), No. 11, November 1990, pp. 1040-1058.
IEEE DOI
Ego Motion.
Motion, FOE. A long paper that talks about various
simple techniques that get partial information.
BibRef
9011
Burger, W.[Wilhelm],
Bhanu, B.[Bir],
Qualitative Motion Understanding,
KluwerJune 1992, ISBN 0-7923-9251-5.
WWW Link.
BibRef
9206
Earlier:
IJCAI87(819-821).
BibRef
Bhanu, B.[Bir],
Burger, W.[Wilhelm],
A Qualitative Approach to Dynamic Scene Understanding,
CVGIP(54), No. 2, September 1991, pp. 184-205.
Elsevier DOI
BibRef
9109
Earlier:
On Computing a 'Fuzzy' Focus of Expansion for Autonomous Navigation,
CVPR89(563-568).
IEEE DOI
BibRef
Earlier:
Dynamic Scene Understanding for Autonomous Mobile Robotics,
CVPR88(736-741).
IEEE DOI Partly included in the previous papers too. Compute a region in the
image that contains the FoE rather than the FoE exactly. This is
sufficient for most analysis.
BibRef
Burger, W.,
Bhanu, B.,
Qualitative Understanding of Scene Dynamics for Mobile Robots,
IJRR(9), No. 6, 1990, pp. 74-90.
BibRef
9000
Bhanu, B.,
Burger, W.,
DRIVE: Dynamic Reasoning from Integrated Visual Evidence,
DARPA87(581-588).
BibRef
8700
Ottmann, T.[Thomas], and
Wood, D.[Derick],
Dynamical Sets of Points,
CVGIP(27), No. 2, August 1984, pp. 157-166.
Elsevier DOI (Waterloo) Analysis of a set of moving points to determine
collisions, etc. Does there exist an algorithm that determines the
correspondences in time less than O(n^2)?
BibRef
8408
Pehjan, S.,
Ragupathi, S.,
King, R.A.,
Improving the Translation Parameter Estimation of Linear Algorithms,
JVCIR(2), 1991, pp. 79-84.
BibRef
9100
Moons, T.,
Van Gool, L.J.,
Proesmans, M.,
Pauwels, E.J.,
Affine Reconstruction from Perspective Image Pairs with a
Relative Object-Camera Translation in Between,
PAMI(18), No. 1, January 1996, pp. 77-83.
IEEE DOI Recover 3-D affine structure from 5 points in 2 views.
BibRef
9601
Van Gool, L.J.,
Moons, T.,
Proesmans, M.,
van Diest, M.,
Affine Reconstruction from Perspective Image Pairs Obtained
by a Translating Camera,
ICPR94(A:290-294).
IEEE DOI
BibRef
9400
And:
AICV94(297-316).
BibRef
van Diest, M.[Marc],
Moons, T.[Theo],
Van Gool, L.J.[Luc J.],
Oosterlinck, A.[Andre],
Shape-from-copies,
BMVC93(xx-yy).
PDF File.
9309
BibRef
Proesmans, M.[Marc],
Van Gool, L.J.,
Oosterlinck, A.,
Active Acquisition of 3D Shape for Moving Objects,
ICIP96(III: 647-650).
IEEE DOI
BibRef
9600
Proesmans, M.,
Van Gool, L.J.,
Oosterlinck, A.,
One-Shot Active 3-D Shape Acquisition,
ICPR96(III: 336-340).
IEEE DOI
9608
Range.
(Katholic Univ. of Leuven, B)
BibRef
Braithwaite, R.N., and
Beddoes, M.P.,
Estimating Camera and Object Translation in the Presence of
Camera Rotation,
JMIV(5), No. 1, January 1995, pp. 43-57.
BibRef
9501
Lai, S.H.,
Chang, S.,
Estimation of 3-D Translational Motion Parameters via
Hadamard Transform,
PRL(8), 1988, pp. 341-345.
BibRef
8800
Garcia, C.[Christophe],
Tziritas, G.[Georgios],
Optimal projection of 2-D displacements for 3-D translational motion
estimation,
IVC(20), No. 11, September 2002, pp. 793-804.
Elsevier DOI
0209
BibRef
Earlier:
3-D Translational Motion Estimation from 2-D Displacements,
ICIP01(II: 945-948).
IEEE DOI
0108
BibRef
Han, M.[Mei],
Kanade, T.[Takeo],
Multiple Motion Scene Reconstruction from Uncalibrated Views,
PAMI(25), No. 7, July 2003, pp. 884-894.
IEEE Abstract.
0307
BibRef
Earlier:
ICCV01(I: 163-170).
IEEE DOI
0106
BibRef
And:
Scene Reconstruction from Multiple Uncalibrated Views,
CMU-RI-TR-00-09, January, 2000.
PDF File. Assume objects move with constant velocity.
First a projective reconstruction, then a Euclidean one by enforcing
metric constraints.
BibRef
Han, M.[Mei],
Kanade, T.[Takeo],
Reconstruction of a Scene with Multiple Linearly Moving Objects,
IJCV(59), No. 3, September-October 2004, pp. 285-300.
DOI Link
0405
BibRef
Earlier:
CVPR00(II: 542-549).
IEEE DOI
0005
BibRef
Traver, V.J.[V. Javier],
Pla, F.[Filiberto],
Similarity motion estimation and active tracking through spatial-domain
projections on log-polar images,
CVIU(97), No. 2, February 2005, pp. 209-241.
Elsevier DOI
0412
BibRef
Earlier:
An Optimization Approach for Translational Motion Estimation in
Log-Polar Domain,
CAIP01(365 ff.).
Springer DOI
0210
BibRef
Traver, V.J.[V. Javier],
Pla, F.[Filiberto],
Motion Analysis with the Radon Transform on Log-Polar Images,
JMIV(30), No. 2, February 2008, pp. 147-165.
Springer DOI
0801
BibRef
Filitto, D.[Danilo],
Hasegawa, J.K.[Júlio Kiyoshi],
Polidório, A.M.[Airton Marco],
Martins, N.A.[Nardęnio Almeida],
Flores, F.C.[Franklin César],
Real-time velocity measurement to linear motion of a rigid object with
monocular image sequence analyses,
RealTimeIP(11), No. 4, April 2016, pp. 829-846.
Springer DOI
1604
BibRef
Dong, Q.[Qiulei],
Gao, X.[Xiang],
Cui, H.[Hainan],
Hu, Z.Y.[Zhan-Yi],
Robust Camera Translation Estimation via Rank Enforcement,
Cyber(52), No. 2, February 2022, pp. 862-872.
IEEE DOI
2202
Cameras, Estimation, Optimization, Iterative methods,
Symmetric matrices, Structure from motion, Noise measurement,
structure from motion
BibRef
Dibene, J.C.[Juan Carlos],
Min, Z.X.[Zhi-Xiang],
Dunn, E.[Enrique],
General Planar Motion from a Pair of 3D Correspondences,
ICCV23(8026-8036)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wadenbäck, M.,
Ĺström, K.,
Heyden, A.,
Recovering planar motion from homographies obtained using a 2.5-point
solver for a polynomial system,
ICIP16(2966-2970)
IEEE DOI
1610
Cameras
BibRef
Vedaldi, A.[Andrea],
Guidi, G.[Gregorio],
Soatto, S.[Stefano],
Moving Forward in Structure From Motion,
CVPR07(1-7).
IEEE DOI
0706
Analysis of errors in reconstructions from forward motion.
BibRef
Okatani, T.,
Deguchi, K.,
Robust estimation of camera translation between two images using a
camera with a 3d orientation sensor,
ICPR02(I: 275-278).
IEEE DOI
0211
BibRef
Levin, A.,
Shashua, A.,
Revisiting Single-View Shape Tensors: Theory and Applications,
ECCV02(II: 399 ff.).
Springer DOI
0205
BibRef
Levin, A.,
Wolf, L.B.,
Shashua, A.,
Time-varying Shape Tensors for Scenes with Multiply Moving Points,
CVPR01(I:623-630).
IEEE DOI
0110
BibRef
Shashua, A.,
Levin, A.,
Linear Image Coding for Regression and Classification using the
Tensor-rank Principle,
CVPR01(I:42-49).
IEEE DOI
0110
BibRef
Shashua, A.[Amnon],
Levin, A.[Anat],
Multi-Frame Infinitesimal Motion Model for the Reconstruction of
(Dynamic) Scenes with Multiple Linearly Moving Objects,
ICCV01(II: 592-599).
IEEE DOI
0106
11 images 7 points. Motion of points is along a line.
BibRef
Suga, Y.,
Ohmori, N.,
Recognition of 3-d Object Shape and Forward Moving Distance
by Monocular Motion Stereo for Mobile Robot,
MVA98(xx-yy).
BibRef
9800
Manmatha, R.,
Dutta, R.,
Riseman, E.M., and
Snyder, W.E.,
Issues in Extracting Motion Parameters and Depth from Approximate
Translation Motion,
Motion89(264-272).
BibRef
8900
And: A2, A1, A3, A4:
DARPA88(945-960).
Depth from motion computation and the problems.
See also the other related UMass papers on the topic.
BibRef
Tomasi, C., and
Shi, J.,
Direction of Heading from Image Deformations,
CVPR93(422-427).
IEEE DOI Compute heading (ego motion) from differential changes in the
angles between projection rays of pairs of point features (simple
geometry).
BibRef
9300
Hildreth, E.C.[Ellen C.],
Recovering Heading for Visually-Guided Navigation,
Vision Research(32), No. 6, 1992, pp. 1177-1192.
BibRef
9200
Earlier:
MIT AI Memo-1297, June 1991.
BibRef
Gambotto, J.P.,
Combining image analysis and thermal models for infrared scene
simulations,
ICIP94(I: 710-714).
IEEE DOI
9411
BibRef
Gambotto, J.P.,
Tracking Points and Line Segments in Image Sequences,
Motion89(38-46).
Constraints on positions due to three
frames and translational motion. Nothing new.
BibRef
8900
Gambotto, J.P.,
Correspondence Analysis for Target Tracking in Infrared Images,
ICPR84(526-529).
BibRef
8400
Fox, J.S.,
Range from translational motion blurring,
CVPR88(360-365).
IEEE DOI
0403
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Rotation Only .