19.6 Motion Using Stereo Pairs or Depth

Tamtaoui, A., Labit, C.,
Constrained disparity and motion estimators for 3DTV image sequence coding,
SP:IC(4), No. 1, November 1991, pp. 45-54.
Elsevier DOI 0001
Stereoscopic image sequence, calibration, motion, disparity, segmentation; compensation, constrained minimization BibRef

Liu, J.[Jin], Skerjanc, R.[Robert],
Stereo and motion correspondence in a sequence of stereo images,
SP:IC(5), No. 4, October 1993, pp. 305-318.
Elsevier DOI 0001
Stereo analysis, motion estimation, multiresolutional process using pyramid structure, determinationi of correspondences in a sequence of stereo images BibRef

Li, L., and Duncan, J.H.,
3-D Translational Motion and Structure from Binocular Image Flows,
PAMI(15), No. 7, July 1993, pp. 657-667.
IEEE DOI Optical Flow, Binocular. First find the Translation, then find the correspondence of features. BibRef 9307

Li, L., Duncan, J.H.,
Recovering 3-D Translational Motion and Establishing Stereo Correspondence from Binocular Image Flows,
Motion89(329-336). BibRef 8900

Wang, W.D., Duncan, J.H.,
Recovering the 3-Dimensional Motion and Structure of Multiple Moving-Objects from Binocular Image Flows,
CVIU(63), No. 3, May 1996, pp. 430-446.
DOI Link 9606
BibRef

Waxman, A.M., and Duncan, J.H.[James H.],
Binocular Image Flows: Steps Toward Stereo-Motion Fusion,
PAMI(8), No. 6, November 1986, pp. 715-729. BibRef 8611
Earlier:
Binocular Image Flows,
Motion86(31-38). BibRef
And: DARPA85(340-349). (Flow Research Corp.) Establishes a 5 step procedure and reports on only the second step. Establish the correspondence between the left and right image features using stereo flow and motion flow together.
See also Analytic Structure of Image Flows: Deformation and Segmentation, The. BibRef

Waxman, A.M., and Sinha, S.S., (UMd),
Dynamic Stereo: Passive Ranging to Moving Objects from Relative Image Flows,
PAMI(8), No. 4, July 1986, pp. 406-412. BibRef 8607
Earlier: DARPA84(130-136). The paper is the result of simulations of a system, e.g. moving vehicle with a camera that slides (or 2 cameras would be more reasonable) between views. Use the two image flows from two moving cameras with different motions. BibRef

Topa, L.C.[Leonardo C.], Schalkoff, R.J.[Robert J.],
An Analytical Approach to the Determination of Planar Surface Orientation Using Active-Passive Image Pairs,
CVGIP(35), No. 3, September 1986, pp. 404-418.
Elsevier DOI BibRef 8609

Trivedi, H.P.[Harit P.],
Estimation of Stereo and Motion Parameters Using a Variational Principle,
IVC(5), No. 2, May 1987, pp. 181-183.
Elsevier DOI BibRef 8705

Trivedi, H.P.[Harit P.],
Pointwise 'flow' from a Variational Principle,
MVA98(xx-yy). BibRef 9800

Trivedi, H.P.[Harit P.],
Can Multiple Views Make up for Lack of Camera Registration?,
IVC(6), No. 1, February 1988, pp. 29-32.
Elsevier DOI BibRef 8802

Trivedi, H.P.[Harit P.],
On Computing All Solutions to the Motion Estimation Problem with Exact or Noisy Data,
IVC(9), No. 4, August 1991, pp. 229-234.
Elsevier DOI BibRef 9108

Dalmia, A.K.[Arun K.], and Trivedi, M.M.[Mohan M.],
Depth Extraction Using a Single Moving Camera: An Integration of Depth from Motion and Depth from Stereo,
MVA(9), No. 2, 1996, pp. 43-55.
Springer DOI 9609
BibRef
Earlier:
Depth Extraction Using Lateral or Axial Camera Motion: An Integration of Depth from Motion and Stereo,
ICIP95(I: 414-417).
IEEE DOI 9510
BibRef

Dalmia, A.K., and Trivedi, M.M.,
On Integrating Depth from Motion and Stereo Approaches,
SMC-C94(61-66). Spatio-Temporal Analysis. BibRef 9400

Dalmia, A.K., Trivedi, M.M.,
High-Speed Extraction of 3D Structure of Selectable Quality Using a Translating Camera,
CVIU(64), No. 1, July 1996, pp. 97-110.
DOI Link 9608
BibRef
Earlier:
Acquisition of 3D Structure of Selectable Quality from Image Streams,
WACV94(289-296).
IEEE Abstract. Spatio-Temporal Analysis. BibRef

Weng, J., Cohen, P., Rebibo, N.,
Motion and Structure Estimation from Stereo Image Sequences,
RA(8), 1992, pp. 362-382.
See also 3-D Motion Estimation, Understanding, and Prediction from Noisy Image Sequences. BibRef 9200

Cui, N., Weng, J.J., and Cohen, P.,
Motion and Structure from Long Stereo Image Sequences,
Motion91(75-80). Reduce stereo uncertainity using motion.
See also Recursive-Batch Estimation of Motion and Structure from Monocular Image Sequences. BibRef 9100

Weng, J.Y.[Ju-Yang], and Cohen, P.[Paul],
Robust Motion Estimation Using Stereo Vision,
Robust90(xx). BibRef 9000

Kellman, P.J., Kaiser, M.K.,
Extracting Object Motion During Observer Motion: Combining Constraints from Optic Flow and Binocular Disparity,
JOSA-A(12), No. 3, March 1995, pp. 623-625. BibRef 9503

Santos-Victor, J., Sandini, G., Curotto, F., and Garibaldi, S.,
Divergent Stereo in Autonomous Navigation: From Bees to Robots,
IJCV(14), No. 2, March 1995, pp. 159-177.
Springer DOI BibRef 9503
Earlier:
Divergent Stereo for Robot Navigation: Learning from Bees,
CVPR93(434-439).
IEEE DOI Combining the motion with the 2 views. BibRef

Tirumalai, A.P.[Arun P.], Schunck, B.G.[Brian G], Jain, R.C.[Ramesh C],
Recovering A Boundary-Level Structural Description From Dynamic Stereo,
IVC(10), No. 3, April 1992, pp. 191-196.
Elsevier DOI BibRef 9204
Earlier: Motion91(69-74). Extends the next paper. BibRef

Tirumalai, A.P.[Arun P.], Schunck, B.G.[Brian G], Jain, R.C.[Ramesh C],
Dynamic Stereo with Self-Calibration,
PAMI(14), No. 12, December 1992, pp. 1184-1189.
IEEE DOI BibRef 9212
Earlier: ICCV90(466-470).
IEEE DOI Mobile robot on indoor floor with straight lines and corners. Use triples of line segments. BibRef

Tirumalai, A.P., Schunck, B.G., and Jain, R.C.,
Robust Dynamic Stereo for Incremental Disparity Map Refinement,
Robust90(xx). BibRef 9000

Leung, M.K., Huang, T.S.,
An Integrated Approach to 3-D Motion Analysis and Object Recognition,
PAMI(13), No. 10, October 1991, pp. 1075-1084.
IEEE DOI BibRef 9110

Ho, A.Y.K.[Anthony Yuk-Kwan], Pong, T.C.[Ting-Chuen],
Cooperative Fusion of Stereo and Motion,
PR(29), No. 1, January 1996, pp. 121-130.
Elsevier DOI BibRef 9601

Bhanu, B., Symosek, P.F., Snyder, S., Roberts, B., and Das, S.,
Synergism of Binocular and Motion Stereo for Passive Ranging,
AeroSys(30), No. 3, July 1994, pp. 709-721. BibRef 9407

Symosek, P.F., and Bhanu, B.,
Motion and Binocular Stereo Integrated System for Passive Ranging,
DARPA90(356-363). Use one to help the other. BibRef 9000

Malassiotis, S., Strintzis, M.G.,
Model-Based Joint Motion and Structure Estimation from Stereo Images,
CVIU(65), No. 1, January 1997, pp. 79-94.
DOI Link 9702

See also Joint 3-Dimensional Motion/Disparity Segmentation for Object-Based Stereo Image Sequence Coding.
See also 3D Object Articulation and Motion Estimation in Model-Based Stereoscopic Videoconference Image Sequence Analysis and Coding. BibRef

Malassiotis, S., Strintzis, M.G.,
Joint Motion/Disparity Map Estimation for Stereo Image Sequences,
VISP(143), No. 2, April 1996, pp. 101-108. 9609
Model occlusions and interactions of neighboring motions. BibRef

Malassiotis, S., Strintzis, M.G.,
Object Based Coding of Stereo Image Sequences Using Three-Dimensional Models,
CirSysVideo(7), No. 6, December 1997, pp. 892-905.
IEEE Top Reference. 9712

See also Coding of Video-Conference Stereo Image Sequences Using 3D Models. BibRef

Tzovaras, D., Grammalidis, N., Strintzis, M.G.,
Object-Based Coding of Stereo Image Sequences Using Joint 3-D Motion/Disparity Compensation,
CirSysVideo(7), No. 2, April 1997, pp. 312-327.
IEEE Top Reference. 9704
BibRef

Strintzis, M.G., Malassiotis, S.,
Object-based coding of stereoscopic and 3D image sequences,
SPMag(16), No. 3, May 1999, pp. 14-28. 0201
BibRef

Tzovaras, D., Grammalidis, N., Strintzis, M.G.,
Joint 3-Dimensional Motion/Disparity Segmentation for Object-Based Stereo Image Sequence Coding,
OptEng(35), No. 1, January 1996, pp. 137-144. BibRef 9601

Grammalidis, N., Malassiotis, S., Tzovaras, D.[Dimitrios], Strintzis, M.G.[Michael G.],
Stereo Image Sequence Coding Based on Three-Dimensional Motion Estimation and Compensation,
SP:IC(7), No. 2, August 1995, pp. 129-145.
Elsevier DOI
See also 3D Object Articulation and Motion Estimation in Model-Based Stereoscopic Videoconference Image Sequence Analysis and Coding. BibRef 9508

Kompatsiaris, I.[Ioannis], Tzovaras, D.[Dimitrios], Strintzis, M.G.[Michael G.],
Flexible 3D Motion Estimation and Tracking for Multiview Image Sequence Coding,
SP:IC(14), No. 1-2, November 1998, pp. 95-110.
Elsevier DOI
See also 3-D Model-Based Segmentation of Videoconference Image Sequences. BibRef 9811

Tzovaras, D.[Dimitrios], Strintzis, M.G.[Michael G.],
Motion and Disparity Field Estimation Using Rate-Distortion Optimization,
CirSysVideo(8), No. 2, April 1998, pp. 171-180.
IEEE Top Reference. 9804
BibRef

Tzovaras, D.[Dimitrios], Grammalidis, N.[Nikos], Strintzis, M.G.[Michael G.],
Disparity field and depth map coding for multiview 3D image generation,
SP:IC(11), No. 3, January 1998, pp. 205-230.
Elsevier DOI Rendering. BibRef 9801

Tzovaras, D., Grammalidis, N., Strintzis, M.G.[Michael G.],
Disparity Field and Depth Map Coding for Multiview Image Sequence Compression,
ICIP96(II: 887-890).
IEEE DOI BibRef 9600

Grammalidis, N., Strintzis, M.G.,
Disparity and Occlusion Estimation in Multiocular Systems and Their Coding for the Communication of Multiview Image Sequences,
CirSysVideo(8), No. 3, June 1998, pp. 328-344.
IEEE Top Reference. 9806
BibRef

Triantafyllidis, G.A., Tzovaras, D., Strintzis, M.G.,
Occlusion and Visible Background and Foreground Areas in Stereo: A Bayesian Approach,
CirSysVideo(10), No. 4, June 2000, pp. 563-575.
IEEE Top Reference. 0006
BibRef

Triantafyllidis, G.A.[George A.], Tzovaras, D.[Dimitrios], Strintzis, M.G.[Michael G.],
A Bayesian Approach for Segmentation in Stereo Image Sequences,
JASP(2002), No. 10, October 2002, pp. 1116-1126.
WWW Link. 0211
BibRef
Earlier:
A Bayesian segmentation of Stereopairs,
ICME00(WA4). 0007
BibRef

Yi, J.W.[Jae-Woong], Oh, J.H.[Jun-Ho],
Estimation of Depth and 3D Motion Parameter of Moving Object with Multiple Stereo Images,
IVC(14), No. 7, July 1996, pp. 501-516.
Elsevier DOI 9607
BibRef

Yi, J.W.[Jae-Woong], Oh, J.H.[Jun-Ho],
Recursive Resolving Algorithm For Multiple Stereo And Motion Matches,
IVC(15), No. 3, March 1997, pp. 181-196.
Elsevier DOI 9704
BibRef

Molton, N.[Nicholas], Brady, M.[Michael],
Practical Structure and Motion from Stereo When Motion is Unconstrained,
IJCV(39), No. 1, August 2000, pp. 5-23.
DOI Link 0008
BibRef

Hatzitheodorou, M., Karabassi, E.A., Papaioannou, G., Boehm, A., Theoharis, T.,
Stereo Matching Using Optic Flow,
RealTimeImg(6), No. 4, August 2000, pp. 251-266. 0010
BibRef

Park, S.K.[Seong Kee], Kweon, I.S.[In-So],
Robust and direct estimation of 3-D motion and scene depth from stereo image sequences,
PR(34), No. 9, September 2001, pp. 1713-1728.
Elsevier DOI 0108
BibRef

Ha, J.E.[Jong-Eun], Kweon, I.S.[In-So],
Robust direct motion estimation considering discontinuity,
PRL(21), No. 11, October 2000, pp. 999-1011. 0010
BibRef

Ristic, B.[Branko], Arulampalam, S.[Sanjeev], McCarthy, J.[James],
Target Motion Analysis Using Range-Only Measurements: Algorithms, Performance and Application to ISAR Data,
SP(82), No. 2, February 2002, pp. 273-296.
Elsevier DOI 0202
BibRef

Dornaika, F.[Fadi], Chung, R.[Ronald],
Binocular matching constraints from motion,
PR(35), No. 10, October 2002, pp. 2003-2012.
Elsevier DOI 0206
BibRef

Hoover, A., Goldgof, D., Bowyer, K.W.,
Egomotion estimation of a range camera using the space envelope,
SMC-B(33), No. 4, August 2003, pp. 717-721.
IEEE Abstract. 0308
BibRef

Zhang, Z.Y.[Zheng-You], Anandan, P.[Padmananbhan], Shum, H.Y.[Heung-Yeung],
System and method for determining structure and motion from two-dimensional images for multi-resolution object modeling,
US_Patent6,614,429, Sep 2, 2003
WWW Link. BibRef 0309
And:
System and method for determining structure and motion using multiples sets of images from different projection models for object modeling,
US_Patent6,661,913, Dec 9, 2003
WWW Link. BibRef
And:
What Can Be Determined from a Full and a Weak Perspective Image?,
ICCV99(680-687).
IEEE DOI Motion with various projections. BibRef

Davis, J., Nehab, D., Ramamoorthi, R., Rusinkiewicz, S.,
Spacetime Stereo: A Unifying Framework for Depth from Triangulation,
PAMI(27), No. 2, February 2005, pp. 296-302.
IEEE Abstract. 0501
BibRef
Earlier: A1, A3, A4 only: CVPR03(II: 359-366).
IEEE DOI 0307
BibRef

Yang, W., Ngan, K.N., Lim, J., Sohn, K.,
Joint Motion and Disparity Fields Estimation for Stereoscopic Video Sequences,
SP:IC(20), No. 3, March 2005, pp. 265-276.
Elsevier DOI 0501
BibRef

Min, D.B.[Dong-Bo], Kim, H.S.[Han-Sung], Sohn, K.H.[Kwang-Hoon],
Edge-preserving joint motion-disparity estimation in stereo image sequences,
SP:IC(21), No. 3, March 2006, pp. 252-271.
Elsevier DOI Energy-based joint estimation, Anisotropic diffusion operator; Euler-lagrange equation, FDM, Simultaneous joint estimation. 0604
BibRef

Min, D.B.[Dong-Bo], Sohn, K.H.[Kwang-Hoon],
Edge-preserving Simultaneous Joint Motion-Disparity Estimation,
ICPR06(II: 74-77).
IEEE DOI 0609
BibRef

Kim, H.S.[Han-Sung], Sohn, K.H.[Kwang-Hoon],
Hierarchical disparity estimation with energy-based regularization,
ICIP03(I: 373-376).
IEEE DOI 0312
BibRef

Park, E.[Eunkwang], Wohn, K.Y.[Kwang-Yun],
Stereo and motion correspondences using nonlinear optimization method,
CVIU(101), No. 3, March 2006, pp. 194-203.
Elsevier DOI 0601
BibRef

Kim, J.H.[Jae-Hean], Chung, M.J.[Myung Jin],
Absolute motion and structure from stereo image sequences without stereo correspondence and analysis of degenerate cases,
PR(39), No. 9, September 2006, pp. 1649-1661.
Elsevier DOI 0606
Motion correspondence, Stereo correspondence, Real-time vision. Extended Kalman filter BibRef

Kim, J.H.[Jae-Hean], Chung, M.J.[Myung Jin], Park, C.J., Lee, I.H.,
Sequential Motion and Scene Reconstruction from Image Sequences Captured by a Multi-camera System,
BMVC06(III:1139).
PDF File. 0609
BibRef

Kim, J.H.[Jae-Hean], Chung, M.J.[Myung Jin], Choi, B.T.[Byung Tae],
Recursive estimation of motion and a scene model with a two-camera system of divergent view,
PR(43), No. 6, June 2010, pp. 2265-2280.
Elsevier DOI 1003
Structure from motion, Field of view, Motion, Stereo, Stereo correspondence, Scene reconstruction, Extended Kalman filter BibRef

Chen, T.[Tai], Liu, Y.H.[Yun-Hui],
A Robust Approach for Structure from Planar Motion by Stereo Image Sequences,
MVA(17), No. 3, August 2006, pp. 197-209.
Springer DOI 0606
BibRef

Lerner, R.[Ronen], Rivlin, E.[Ehud], Rotstein, H.P.[Hector P.],
Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map,
PAMI(28), No. 9, September 2006, pp. 1404-1417.
IEEE DOI 0608
BibRef
Earlier:
Pose estimation using feature correspondences and DTM,
ICIP04(IV: 2603-2606).
IEEE DOI 0505
BibRef
And:
Error analysis for a navigation algorithm based on optical-flow and a digital terrain map,
CVPR04(I: 604-610).
IEEE DOI 0408
Map image patch onto DTM. DTM provides constraint on position of image points. BibRef

Lerner, R.[Ronen], Rivlin, E.[Ehud],
Direct Method for Video-Based Navigation Using a Digital Terrain Map,
PAMI(33), No. 2, February 2011, pp. 406-411.
IEEE DOI 1101
2 images and digital terrain map to define navigation parameters. BibRef

Li, R.[Rui], Sclaroff, S.[Stan],
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences,
CVIU(110), No. 1, April 2008, pp. 75-90.
Elsevier DOI 0711
BibRef
Earlier: Motion05(II: 147-153).
IEEE DOI 0502
Scene flow, Stereo, Disparity, Optical flow, Discontinuity, Over-regularization BibRef

Zhang, H.S.[Hong-Sheng], Negahdaripour, S.[Shahriar],
Epiflow: A paradigm for tracking stereo correspondences,
CVIU(111), No. 3, September 2008, pp. 307-328.
Elsevier DOI 0809
BibRef
Earlier:
Epiflow Based Stereo Fusion,
IbPRIA07(I: 153-160).
Springer DOI 0706
BibRef
Earlier:
EKF-Based Recursive Dual Estimation of Structure & Motion from Stereo Data,
3DPVT06(73-80).
IEEE DOI 0606
BibRef
Earlier:
Epiflow Quadruplet Matching: Enforcing Epipolar Geometry for Spatio-Temporal Stereo Correspondences,
WACV05(I: 481-486).
IEEE DOI 0502

See also BC&GC-Based Dense Stereo By Belief Propagation.
See also Revised Definition of Optical Flow: Integration of Radiometric and Geometric Cues for Dynamic Scene Analysis. Motion stereo, Epipolar geometry, Stereo correspondences, Feature matching and tracking BibRef

Zhang, H.S.[Hong-Sheng], Negahdaripour, S.,
Improved temporal correspondences in stereo-vision by RANSAC,
ICPR04(IV: 52-55).
IEEE DOI 0409
BibRef

Knorr, S.[Sebastian], Kunter, M.[Matthias], Sikora, T.[Thomas],
Stereoscopic 3D from 2D video with super-resolution capability,
SP:IC(23), No. 9, October 2008, pp. 665-676.
Elsevier DOI 0810
BibRef
Earlier:
Super-Resolution Stereo- and Multi-View Synthesis from Monocular Video Sequences,
3DIM07(55-64).
IEEE DOI 0708
Stereoscopic imaging, 2D/3D conversion, Structure-from-motion; Super-resolution stereo, Image-based rendering BibRef

Zhang, Y.[Yun], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei], Yang, Y.[You], Peng, Z.J.[Zong-Ju], Chen, K.[Ken],
Depth perceptual region-of-interest based multiview video coding,
JVCIR(21), No. 5-6, July-August 2010, pp. 498-512.
Elsevier DOI 1007
Three-dimensional television, Multiview video coding, Multiview video plus depth, Depth perceptual region-of-interest, Bit allocation; Inter-view correlation, Hierarchical B picture, Human visual system BibRef

Shao, F.[Feng], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei], Chen, K., Ho, Y.S.,
Asymmetric Coding of Multi-View Video Plus Depth Based 3-D Video for View Rendering,
MultMed(14), No. 1, January 2012, pp. 157-167.
IEEE DOI 1201
BibRef

Liu, H.[Haixu], Li, X.M.[Xue-Ming], Chen, K.[Kunbin],
Global-background based view synthesis approach for multi-view video,
3DTV12(1-4).
IEEE DOI 1212
BibRef

Liu, Q., Yang, Y., Ji, R., Gao, Y., Yu, L.,
Cross-View Down/Up-Sampling Method for Multiview Depth Video Coding,
SPLetters(19), No. 5, May 2012, pp. 295-298.
IEEE DOI 1204
BibRef

Jiang, G.Y.[Gang-Yi], Yu, M.[Mei], Shao, F.[Feng], Yang, Y.[You], Dong, H.T.[Hai-Tao],
Fast Multi-view Disparity Estimation for Multi-View Video Systems,
ACIVS06(493-500).
Springer DOI 0609

See also Fast Color Correction for Multi-View Video by Modeling Spatio-Temporal Variation. BibRef

Shao, F.[Feng], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei],
Network-driven low complexity coding for wireless multi-view video system,
RealTimeIP(5), No. 1, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Zhang, Y.[Yun], Yu, M.[Mei], Jiang, G.Y.[Gang-Yi], Peng, Z.J.[Zong-Ju], Yang, Y.[You],
Low-Complexity Region-of-Interest Extraction for Multiview Video Coding,
CISP09(1-5).
IEEE DOI 0910
BibRef

Ferrara, M.[Matthew], Arnold, G.[Gregory],
Shape and Motion Estimation from Near-Field Echo-Based Sensor Data,
SIIMS(2), No. 2, 2009, pp. 710-729.
DOI Link 0905
near-field Euclidean invariants, geometric-invariant theory; object-image relations, structure from motion, alternate navigation Applies to other range sensors. BibRef

Ferrara, M.[Matthew], Arnold, G.[Gregory], Stuff, M.[Mark],
Shape and Motion Reconstruction from 3D-to-1D Orthographically Projected Data via Object-Image Relations,
PAMI(31), No. 10, October 2009, pp. 1906-1912.
IEEE DOI 0909
BibRef

Schuchert, T.[Tobias], Aach, T.[Til], Scharr, H.[Hanno],
Range Flow in Varying Illumination: Algorithms and Comparisons,
PAMI(32), No. 9, September 2010, pp. 1646-1658.
IEEE DOI 1008
BibRef
Earlier:
Range Flow for Varying Illumination,
ECCV08(I: 509-522).
Springer DOI 0810
Motion flow using range information. BibRef

Schuchert, T.[Tobias], Scharr, H.[Hanno],
Estimation of 3D Object Structure, Motion and Rotation Based on 4D Affine Optical Flow Using a Multi-camera Array,
ECCV10(IV: 596-609).
Springer DOI 1009
BibRef

Schuchert, T.[Tobias], Scharr, H.[Hanno],
Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination,
DAGM07(184-193).
Springer DOI 0709
BibRef

Scharr, H., Kusters, R.,
A linear model for simultaneous estimation of 3D motion and depth,
Motion02(220-225).
IEEE DOI 0303
BibRef

Jiang, H.[Hao], Yu, S.X.[Stella X.], Martin, D.R.[David R.],
Linear Scale and Rotation Invariant Matching,
PAMI(33), No. 7, July 2011, pp. 1339-1355.
IEEE DOI 1106
BibRef
Earlier: A1, A2, Only:
Linear solution to scale and rotation invariant object matching,
CVPR09(2474-2481).
IEEE DOI 0906
due to egomotion. Find feature point match and global transforms. BibRef

Jiang, H.[Hao],
Linear solution to scale invariant global figure ground separation,
CVPR12(678-685).
IEEE DOI 1208
BibRef

Jiang, H.[Hao], Tian, T.P.[Tai-Peng], He, K.[Kun], Sclaroff, S.[Stan],
Scale resilient, rotation invariant articulated object matching,
CVPR12(143-150).
IEEE DOI 1208
BibRef

Sakai, K.[Ko], Ogiya, M.[Mitsuharu], Hirai, Y.[Yuzo],
Decoding of depth and motion in ambiguous binocular perception,
JOSA-A(28), No. 7, July 2011, pp. 1445-1452.
WWW Link. 1107
BibRef

Gehrig, S.K.[Stefan K.], Badino, H.[Hernán], Franke, U.[Uwe],
Improving sub-pixel accuracy for long range stereo,
CVIU(116), No. 1, January 2012, pp. 16-24.
Elsevier DOI 1112
BibRef
Earlier: A1, A3, Only:
Improving Stereo Sub-Pixel Accuracy for Long Range Stereo,
VRML07(1-7).
IEEE DOI 0710
Stereo vision, Sub-pixel interpolation, 3D reconstruction, Object detection
See also Exploiting Traffic Scene Disparity Statistics for Stereo Vision. BibRef

Franke, U.[Uwe], Gehrig, S.K.[Stefan K.], Badino, H.[Hernán], Rabe, C.[Clemens],
Towards Optimal Stereo Analysis of Image Sequences,
RobVis08(43-58).
Springer DOI 0802
BibRef

Franke, U.[Uwe], Rabe, C.[Clemens], Badino, H.[Hernán], Gehrig, S.K.[Stefan K.],
6D-Vision: Fusion of Stereo and Motion for Robust Environment Perception,
DAGM05(216).
Springer DOI 0509
BibRef

Rabe, C.[Clemens], Müller, T.[Thomas], Wedel, A.[Andreas], Franke, U.[Uwe],
Dense, Robust, and Accurate Motion Field Estimation from Stereo Image Sequences in Real-Time,
ECCV10(IV: 582-595).
Springer DOI 1009
BibRef

Vaudrey, T.[Tobi], Badino, H.[Hernán], Gehrig, S.K.[Stefan K.],
Integrating Disparity Images by Incorporating Disparity Rate,
RobVis08(29-42).
Springer DOI 0802
BibRef

Cai, J.,
Integration of optical flow and dynamic programming for stereo matching,
IET-IPR(6), No. 3, 2012, pp. 205-212.
DOI Link 1204
BibRef

Sizintsev, M.[Mikhail], Wildes, R.P.[Richard P.],
Spatiotemporal Stereo and Scene Flow via Stequel Matching,
PAMI(34), No. 6, June 2012, pp. 1206-1219.
IEEE DOI 1205
BibRef
Earlier:
Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching,
CVPR09(493-500).
IEEE DOI 0906
Recover temporally coherent estimates of 3D structure and motion. Match spatiotemporal elements between views.
See also Coarse-to-fine stereo vision with accurate 3D boundaries.
See also Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis. BibRef

Sizintsev, M.[Mikhail], Wildes, R.P.[Richard P.],
Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation Analysis,
PAMI(36), No. 11, November 2014, pp. 2241-2254.
IEEE DOI 1410
Energy measurement BibRef

Zarrabeitia, L.A., Qureshi, F.Z., Aruliah, D.A.,
Stereo Reconstruction of Droplet Flight Trajectories,
PAMI(37), No. 4, April 2015, pp. 847-861.
IEEE DOI 1503
Aerodynamics BibRef

Theodoridis, T.[Theodoris], Papachristou, K.[Konstantinos], Nikolaidis, N.[Nikos], Pitas, I.[Ioannis],
Object motion analysis description in stereo video content,
CVIU(141), No. 1, 2015, pp. 52-66.
Elsevier DOI 1512
BibRef
Earlier:
Object motion description in stereoscopic videos,
IC3D13(1-7)
IEEE DOI 1503
Motion analysis. image motion analysis BibRef

Liu, C., Wang, W., Shen, J., Shao, L.,
Stereo Video Object Segmentation Using Stereoscopic Foreground Trajectories,
Cyber(49), No. 10, October 2019, pp. 3665-3676.
IEEE DOI 1907
Trajectory, Motion segmentation, Stereo image processing, Object segmentation, Image segmentation, Feature extraction, stereoscopic video segmentation BibRef

Cao, Z.[Zhe], Kar, A.[Abhishek], Hane, C.[Christian], Malik, J.[Jitendra],
Learning Independent Object Motion From Unlabelled Stereoscopic Videos,
CVPR19(5587-5596).
IEEE DOI 2002
BibRef

Wang, C.Y.[Chao-Yang], Lucey, S.[Simon], Perazzi, F.[Federico], Wang, O.[Oliver],
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes,
3DV19(348-357)
IEEE DOI 1911
Cameras, Image reconstruction, Training, Stereo image processing, YouTube, Video sequences, dynamic scene reconstruction BibRef

Chen, Q., Poullis, C.,
Single-Shot Dense Reconstruction with Epic-Flow,
3DTV-CON18(1-4)
IEEE DOI 1812
image colour analysis, image matching, image motion analysis, image reconstruction, image sequences, stereo image processing, large-scale BibRef

Thies, L.[Lucas], Zollhöfer, M.[Michael], Richardt, C.[Christian], Theobalt, C.[Christian], Greiner, G.[Günther],
Real-Time Halfway Domain Reconstruction of Motion and Geometry,
3DV16(450-459)
IEEE DOI 1701
Cameras BibRef

Kumar, S.H.[S. Hemanth], Suraj, K., Ramakrishnan, K.R.,
An efficient depth estimation using temporal 3D-Warping,
IC3D14(1-8)
IEEE DOI 1503
Depth for multiview video acquired by a camera array in motion. BibRef

Hui, T.W.[Tak-Wai], Chung, R.[Ronald],
Structure from motion directly from a sequence of binocular images without explicit correspondence establishment,
ICIP13(3607-3611)
IEEE DOI 1402
Binocular image sequence BibRef

Zhang, C.X.[Chen-Xi], Price, B.L., Cohen, S., Yang, R.G.[Rui-Gang],
High-Quality Stereo Video Matching via User Interaction and Space-Time Propagation,
3DV13(71-78)
IEEE DOI 1311
space-time adaptive processing BibRef

Pinggera, P.[Peter], Franke, U.[Uwe], Mester, R.[Rudolf],
Highly Accurate Depth Estimation for Objects at Large Distances,
GCPR13(21-30).
Springer DOI 1311
Combine robust object segmentation and highly accurate depth and motion estimation. BibRef

Jiang, J.[Jun], Cheng, J.[Jun], Chen, B.[Baowen],
Rapid Disparity Prediction for Dynamic Scenes,
ISVC13(I:333-342).
Springer DOI 1310
Dynamic stereo. Use past disparity for future disparity and egomotion computation. BibRef

Fang, M.[Mu], Chung, R.[Ronald],
Quasi-perspective stereo-motion for 3D reconstruction,
WORV13(237-242)
IEEE DOI 1307
BibRef
Earlier:
Dense reconstruction by stereo-motion under perspective camera model,
ICPR12(2480-2483).
WWW Link. 1302
BibRef

Rohith, M.V., Kambhamettu, C.[Chandra],
Application of Heterogenous Motion Models towards Structure Recovery from Motion,
ACCV12(I:622-635).
Springer DOI 1304
BibRef
And:
Augmenting monocular motion estimation using intermittent 3D models from depth sensors,
ICPR12(473-476).
WWW Link. 1302
BibRef

Menze, M., Muhle, D.,
Using Stereo Vision To Support The Automated Analysis Of Surveillance Videos,
ISPRS12(XXXIX-B3:47-51).
DOI Link 1209
BibRef

Yong, D.[Duan], Lei, C.[Chen], Wang, Y.C.[Yu-Cheng], Min, Y.[Yang], Qin, X.M.[Xia-Meng], He, S.Y.[Shao-Yang], Jia, Y.D.[Yun-De],
A real-time system for 3D recovery of dynamic scene with multiple RGBD imagers,
CNWASA11(1-8).
IEEE DOI 1106
BibRef

Zhou, Y.H.[Yi-Hao], Chen, Y.Q.[Yan Qiu],
Feature-Assisted Dense Spatio-temporal Reconstruction from Binocular Sequences,
ACCV10(IV: 435-448).
Springer DOI 1011
BibRef

Duan, T.[Tiandi], Huang, W.[Wei], Constable, M.,
Detecting the Presence of Stationary Objects from Sparse Stereo Disparity Space,
PSIVT10(15-20).
IEEE DOI 1011
BibRef

Ma, Y.D.[Ying-Dong], Chen, Q.[Qian],
Stereo-Based Object Segmentation Combining Spatio-Temporal Information,
ISVC10(III: 229-238).
Springer DOI 1011
BibRef

Sabater, N., Morel, J.M.[Jean-Michel], Almansa, A., Blanchet, G.,
Discarding moving objects in quasi-simultaneous stereovision,
ICIP10(2957-2960).
IEEE DOI 1009
BibRef

Valgaerts, L.[Levi], Bruhn, A.[Andrés], Zimmer, H.[Henning], Weickert, J.[Joachim], Stoll, C.[Carsten], Theobalt, C.[Christian],
Joint Estimation of Motion, Structure and Geometry from Stereo Sequences,
ECCV10(IV: 568-581).
Springer DOI 1009
BibRef

Yang, S.F.[Song-Fan], Bhanu, B.[Bir], Mourikis, A.I.[Anastasios I.],
Error model for scene reconstruction from motion and stereo,
VAM10(70-77).
IEEE DOI 1006
BibRef

Gat, Y.[Yoram], Kozintsev, I.[Igor], Nestares, O.[Oscar],
Fusing image data with location and orientation sensor data streams for consumer video applications,
VAM10(1-8).
IEEE DOI 1006
Use location info for camera trajectory and 3D reconstruction. BibRef

Min, D.B.[Dong-Bo], Yea, S.H.[Se-Hoon], Vetro, A.[Anthony],
Temporally consistent stereo matching using coherence function,
3DTV10(1-4).
IEEE DOI 1006
BibRef

Liu, F.[Fang], Philomin, V.[Vasanth],
Disparity estimation in stereo sequences using scene flow,
BMVC09(xx-yy).
PDF File. 0909
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Vaudrey, T.[Tobi], Rabe, C.[Clemens], Klette, R.[Reinhard], Milburn, J.[James],
Differences between stereo and motion behaviour on synthetic and real-world stereo sequences,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Xu, X.Z.[Xiao-Zhong], He, Y.[Yun],
Fast disparity motion estimation in MVC based on range prediction,
ICIP08(2000-2003).
IEEE DOI 0810
BibRef

Chong, A.K.[Albert K.], Milburn, P.[Peter], Wes, R.N.[Richard Newsham], ter Voert, M.[Marieke], Croft, H.[Hayden],
Recent Practical Applications of Close-Range Photogrammetry for Complex Motion Study,
ISPRS08(B5: 921 ff).
PDF File. 0807
BibRef

Putze, T.[Torsten], Maas, H.G.[Hans-Gerd],
3D Determination of Very Dense Particle Velocity Fields by Tomographic Reconstruction from Four Camera Views and Voxel Space Tracking,
ISPRS08(B5: 33 ff).
PDF File. 0807
BibRef

Zhang, C.S.[Chun-Sen],
Motion-Stereo Double Matching Restriction in 3D Motion Analysis,
ISPRS08(B3b: 675 ff).
PDF File. 0807
BibRef

Beder, C.[Christian], Science, I.[Ingo], Koch, R.[Reinhard],
Real-time Estimation of the Camera Path from a Sequence of Intrinsically Calibrated PMD Depth Images,
ISPRS08(B3a: 45 ff).
PDF File. 0807
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Trinh, H.[Hoang], McAllester, D.[David],
Structure and motion from road-driving stereo sequences,
VAM10(9-16).
IEEE DOI 1006
BibRef

Trinh, H.[Hoang],
Efficient Stereo Algorithm using Multiscale Belief Propagation on Segmented Images,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Trinh, H.[Hoang], Mcallester, D.[David],
Unsupervised Learning of Stereo Vision with Monocular Depth Cues,
BMVC09(xx-yy).
PDF File. 0909
BibRef
Earlier:
Particle-Based Belief Propagation for Structure from Motion and Dense Stereo Vision with Unknown Camera Constraints,
RobVis08(16-28).
Springer DOI 0802
BibRef

Du, H.[Hao], Zou, D.P.[Dan-Ping], Chen, Y.Q.[Yan Qiu],
Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Matzka, S., Petillot, Y.R., Wallace, A.M.,
Fast Motion Estimation on Range Image Sequences acquired with a 3-D Camera,
BMVC07(xx-yy).
PDF File. 0709
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Seki, A.[Akihito], Okutomi, M.[Masatoshi],
Simultaneous Optimization of Structure and Motion in Dynamic Scenes Using Unsynchronized Stereo Cameras,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Koch, O.[Olivier], Teller, S.[Seth],
Wide-Area Egomotion Estimation from Known 3D Structure,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier: CSAIL-2006-003, January 2006.
WWW Link. BibRef

Godding, R., Luhmann, T., Wendt, A.,
4D Surface matching for high-speed stereo sequences,
IEVM06(xx-yy).
PDF File. 0609
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Zhang, J.D.[Jing-Dan], McMillan, L.[Leonard], Yu, J.Y.[Jing-Yi],
Robust Tracking and Stereo Matching under Variable Illumination,
CVPR06(I: 871-878).
IEEE DOI 0606
BibRef

Isard, M.[Michael], MacCormick, J.P.[John P.],
Dense Motion and Disparity Estimation Via Loopy Belief Propagation,
ACCV06(II:32-41).
Springer DOI 0601
BibRef

Williams, O.[Oliver], Isard, M.[Michael], MacCormick, J.P.[John P.],
Estimating Disparity and Occlusions in Stereo Video Sequences,
CVPR05(II: 250-257).
IEEE DOI 0507
BibRef

Kolodko, J., Vlacic, L.,
Fusion of range and vision for real-time motion estimation,
IVS04(256-261).
IEEE Abstract. 0411
Both a range and image sensor. BibRef

Xu, Y.H.[Yi-Hua], Wang, D.S.[Dong-Sheng], Shu, H.Y.[Heung-Yeung], Ma, S.D.[Song-De],
Dynamic depth recovery using belief propagation,
ICIP03(I: 385-388).
IEEE DOI 0312
BibRef

Zhang, L.[Li], Curless, B., Seitz, S.M.,
Spacetime stereo: shape recovery for dynamic scenes,
CVPR03(II: 367-374).
IEEE DOI 0307
BibRef

Krüger, N.[Norbert], Jäger, T.[Thomas], Perwass, C.[Christian],
Extraction of Object Representations from Stereo Image Sequences Utilizing Statistical and Deterministic Regularities in Visual Data,
BMCV02(322 ff.).
Springer DOI 0303
BibRef

Goncalves, N., Araujo, H.,
Estimation of 3d motion from stereo images: Differential and discrete formulations,
ICPR02(I: 335-338).
IEEE DOI 0211
BibRef

Zucchelli, M., Christensen, H.I.,
Recursive flow based structure from parallax with automatic rescaling,
BMVC01(Poster Session 1).
HTML Version. Royal Institute of Technology 0110
BibRef

Strecha, C., Van Gool, L.J.,
Motion-Stereo Integration for Depth Estimation,
ECCV02(II: 170 ff.).
Springer DOI 0205
Stereo is calibrated. Motion is computed. BibRef

Shao, J.[Juliang],
Combination of Stereo, Motion and Rendering for 3D Footage Display,
SMBV01(xx-yy). 0110
BibRef

Dick, A.R.[Anthony R.], Torr, P.H.S.[Phil H.S.], Ruffle, S.J.[Simon J.], Cipolla, R.[Roberto],
Combining Single View Recognition and Multiple View Stereo for Architectural Scenes,
ICCV01(I: 268-274).
IEEE DOI 0106
Detailed wire-frame models of buildings from video sequence. BibRef

Demirdjian, D.[David], Darrell, T.J.[Trevor J.],
Motion Estimation from Disparity Images,
ICCV01(I: 213-218).
IEEE DOI 0106
BibRef
And: MIT AI Memo-2001-009, May 7, 2001.
WWW Link. 0105
BibRef

Moyung, T.J.[Tai Jing], Fieguth, P.W.,
Incremental Shape Reconstruction Using Stereo Image Sequences,
ICIP00(Vol II: 752-755).
IEEE DOI 0008
Incrementally resolve matching errors. BibRef

Mozerov, M.F.[Mikhail F.], Kober, V.[Vitaly], Choi, T.S.[Tae S.],
Improved Motion Stereo Matching based on a Modified Dynamic Programming,
CVPR00(II: 501-505).
IEEE DOI 0005
BibRef

Szeliski, R.S.[Richard S.],
Method and apparatus for reconstructing geometry using geometrically constrained structure from motion with points on planes,
US_Patent6,137,491, Oct 24, 2000
WWW Link. BibRef 0010

Szeliski, R.S.[Richard S.],
A Multi-View Approach to Motion and Stereo,
CVPR99(I: 157-163).
IEEE DOI Dense depth and motion from a sequence, not just a single depth map, but one for each image. BibRef 9900

Szeliski, R.S.,
Prediction Error as a Quality Metric for Motion and Stereo,
ICCV99(781-788).
IEEE DOI BibRef 9900

Tsai, C.J.[Chun-Jen], Galatsanos, N.P., Katsaggelos, A.K.,
Total least squares estimation of stereo optical flow,
ICIP98(II: 622-626).
IEEE DOI 9810
BibRef

Patras, I., Alvertos, N., Tziritas, G.,
Joint Disparity and Motion Field Estimation in Stereoscopic Image Sequences,
ICPR96(I: 359-363).
IEEE DOI 9608
(Univ. of Crete, GR) BibRef

Palaniappan, K., Hasler, A.F., Huang, Y., Zhuang, X.,
Robust Stereo Analysis,
SCV95(175-181).
IEEE DOI NASA/Goddard Space Flight Center. University of Missouri Columbia. BibRef 9500

Barron, J.L., Eagleson, R.,
Binocular estimation of motion and structure from long sequences using optical flow without correspondence,
ICIP95(II: 193-196).
IEEE DOI 9510
BibRef

Tsukune, H.,
Trinocular Stereo Analysis of Optical Flow,
ICPR90(I: 43-47).
IEEE DOI BibRef 9000

Brooks, R.A.[Rodney A.], Flynn, A.M.[Anita M.], and Marill, T.[Thomas],
Self Calibration of Motion and Stereo Vision for Mobile Robot Navigation,
DARPA88(398-410). BibRef 8800
And: MIT AI Memo-984, August 1987. Make the stereo and the motion agree in the depth computation. It is simplified by eliminating small parameters. BibRef

Balasubramanyam, P., and Weiss, R.,
Early Identification of Occlusion in Stereo-Motion Image Sequences,
DARPA89(1032-1037). Basic analysis to get an indication of occlusion before all the hard work. BibRef 8900

Balasubramanyam, P., and Snyder, M.A.,
A Computational Model for Binocular Motion Processing,
DARPA92(515-519). BibRef 9200
Earlier:
The P-Field: A Computational Model for Binocular Motion Processing,
CVPR91(115-120).
IEEE DOI Motion and stereo, with stereo there is only 1 solution to the motion. Applied to TRANSLATION but believe it will work in general. BibRef

Balasubramanyam, P.,
Computation of Motion-in-Depth Parameters Using Stereoscopic Motion Constraints,
CVWS87(349-351). BibRef 8700
And:
Computation of Motion in Depth Parameters: A First Step in Stereoscopic Motion Interpretation,
DARPA88(907-920). BibRef

Jain, R.C.[Ramesh C.], Bartlett, S.L., and O'Brien, N.,
Motion Stereo Using Ego-Motion Complex Logarithmic Mapping,
PAMI(9), No. 3, May 1987, pp. 356-369. BibRef 8705
Earlier: CVPR86(188-193). Log Mapping. The CLM applied to motion with stereo. BibRef

O'Brien, N., Jain, R.,
Axial Motion Stereo,
CVWS84(88-92). BibRef 8400

Jenkin, M.R.M.[Michael R.M.], Tsotsos, J.K.[John K.],
Applying Temporal Constraints to the Dynamic Stereo Problem,
CVGIP(33), No. 1, January 1986, pp. 16-32.
Elsevier DOI BibRef 8601
Earlier: A1 only:
The Stereopsis of Time-Varying Images,
RBCV-TR-84-3, September 1984, Toronto. The problem is easier when stereo constraints and motion constraints are used together. BibRef

Jenkin, M.R.M.,
Using Stereomotion to Track Binocular Targets,
CVPR91(96-102).
IEEE DOI BibRef 9100
And:
On the Use of Trajectory Information to Assist Stereopsis in a Dynamic Environment,
ECCV90(341-345).
Springer DOI Spatio-Temporal Filters. BibRef

Smith, P.W., Nandhakumar, N.,
Accurate Structure and Motion Computation in the Presence of Range Image Distortions Due to Sequential Acquisition,
CVPR94(925-928).
IEEE DOI BibRef 9400

Sdigui, A., Benjelloun, M.,
Moving object reconstruction from 3D segments using a fixed camera,
ICIP94(I: 554-558).
IEEE DOI 9411
BibRef

Hanna, K.J.[Keith J.],
Method for determining sensor motion and scene structure and image processing system therefor,
US_Patent5,259,040, Nov 2, 1993
WWW Link. BibRef 9311

Hanna, K.J.,
Direct Multi-Resolution Estimation of Ego-Motion and Structure from Motion,
Motion91(156-162). More an image stabilization operation, use the ego-motion to constrain the object T and R. BibRef 9100

Hanna, K.J., and Okamoto, N.E.,
Combining Stereo and Motion Analysis for Direct Estimation of Scene Structure,
ICCV93(357-365).
IEEE DOI Multi-resolution approach -- warp the images to match. BibRef 9300

Chebaro, B., Crouzil, A., Massip-Pailhes, L., Castan, S.,
Fusion of the stereoscopic and temporal matching results by an algorithm of coherence control and conflicts management,
CAIP93(486-493).
Springer DOI 9309
BibRef

Nikolaidis, N., Pitas, I., Strintzis, M.G.,
Combined evaluation of motion and disparity vector fields for stereoscopic sequence coding,
CAIP93(387-394).
Springer DOI 9309
BibRef

Asada, M.[Minoru], and Tsuji, S.[Saburo],
Utilization of a Stripe Pattern for Dynamic Scene Analysis,
IJCAI85(895-897). Structured Light, Stripes. The usual problems and the usual solutions. BibRef 8500

Polzleitner, W., Paar, G.,
Elevation Modeling And Motion Tracking Using A Binocular Camera System With Seven Degrees Of Freedom,
ICPR92(I:17-20).
IEEE DOI BibRef 9200

Hong, L., Brzakovic, D.,
An approach to 3D scene reconstruction from noisy binocular image sequences using information fusion,
ICCV90(658-661).
IEEE DOI 0403
BibRef

Zimmermann, G.[Georg],
Stereo matching based on a combination of simple features used for matching in temporal image sequences,
ECCV90(616-618).
Springer DOI 9004
BibRef

Sparks, E.P., Stephens, M.J.,
Integration of stereo and motion,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Richards, W.A.,
Structure from Stereo and Motion,
MIT AI Memo-731, September 1983. BibRef 8309

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion with Optical Flow and Depth .