Comutations underlying the measuremnt of visual motion.

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Comutations underlying the measuremnt of visual motion.

Source

Artificial Intelligence archive
Volume 23 , Issue 3 (August 1984) table of contents

Pages: 309 - 354

Year of Publication: 1984

ISSN:0004-3702

Author

Ellen C. Hildreth

MIT Artificial Intelligence Lab., Cambridge, MA

Publisher

Elsevier Science Publishers Ltd. Essex, UK

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 23

Additional Information:

cited by index terms review collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	10.1016/0004-3702(84)90018-3

CITED BY 23

	Cornelia Fermüller , Yiannis Aloimonos, On the Geometry of Visual Correspondence, International Journal of Computer Vision, v.21 n.3, p.223-247, Feb. 1997
	Robert Laddaga , Mark L. Swinson , Paul Robertson, Seeing Clearly and Moving Forward, IEEE Intelligent Systems, v.15 n.6, p.46-50, November 2000
	Yann Ricquebourg , Patrick Bouthemy, Real-Time Tracking of Moving Persons by Exploiting Spatio-Temporal Image Slices, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.22 n.8, p.797-808, August 2000
	Naresh Gupta , Laveen Kanal, Gradient Based Image Motion Estimation Without Computing Gradients, International Journal of Computer Vision, v.22 n.1, p.81-101, Feb./March 1997
	R. Hummel , V. Sundareswaran, Motion Parameter Estimation from Global Flow Field Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.15 n.5, p.459-476, May 1993
	Kwang Yoen Wohn , Jian Wu , Roger W. Brockett, A Contour-Based Recovery of Image Flow: Iterative Transformation Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.8, p.746-760, August 1991
	Ted J. Broida , Rama Chellappa, Estimating the Kinematics and Structure of a Rigid Object from a Sequence of Monocular Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.6, p.497-513, June 1991
	Janusz Konrad , Eric Dubois, Bayesian Estimation of Motion Vector Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.14 n.9, p.910-927, September 1992
	Ruud M. Bolle , Baba C. Vemuri, On Three-Dimensional Surface Reconstruction Methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.1, p.1-13, January 1991
	P. Y. Simard , G. E. Mailloux, A Projection Operator for the Restoration of Divergence-Free Vector Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.10 n.2, p.248-256, March 1988
	Venkataraman Sundareswaran , Scott A. Beardsley , Lucia M. Vaina, Fast processing of image motion patterns arising from 3-D translational motion, Optic flow and beyond, Kluwer Academic Publishers, Norwell, MA, 2004
	Hsueh-Ming Hang , Yung-Ming Chou , Sheu-Chih Cheng, Motion Estimation for Video Coding Standards, Journal of VLSI Signal Processing Systems, v.17 n.2-3, p.113-136, Nov. 1997
	Gem-Sun Jason Young , Rama Chellappa, Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.14 n.10, p.995-1013, October 1992
	A. Mitiche , R. Grisell , J. K. Aggarwal, On Smoothness of a Vector Field-Application to Optical Flow, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.10 n.6, p.943-949, November 1988
	Charles S. Kenney , B. S. Manjunath , Marco Zuliani , Gary A. Hewer , Alan Van Nevel, A Condition Number for Point Matching with Application to Registration and Postregistration Error Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.25 n.11, p.1437-1454, November 2003
	P. Bouthemy, A Maximum Likelihood Framework for Determining Moving Edges, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.5, p.499-511, May 1989
	Shang-Hong Lai , Baba C. Vemuri, Reliable and Efficient Computation of Optical Flow, International Journal of Computer Vision, v.29 n.2, p.87-105, Aug. 1, 1998
	Luc Florack , Wiro Niessen , Mads Nielsen, The Intrinsic Structure of Optic Flow Incorporating Measurement Duality, International Journal of Computer Vision, v.27 n.3, p.263-286, May 1, 1998
	Pierre Bayerl , Heiko Neumann, Disambiguating Visual Motion Through Contextual Feedback Modulation, Neural Computation, v.16 n.10, p.2041-2066, October 2004
	Roberto Caldelli , Franco Bartolini , Vittorio Romagnoli, An algorithm for motion parameter direct estimate, EURASIP Journal on Applied Signal Processing, v.2004 n.1, p.861-870, 1 January 2004
	S. Nishio , T. Okuno, Statistical Approach to the Measurement of Velocity Field, Journal of Visualization, v.1 n.2, p.161-170, April 1998
	Robert Strzodka , Christoph Garbe, Real-Time Motion Estimation and Visualization on Graphics Cards, Proceedings of the conference on Visualization '04, p.545-552, October 10-15, 2004
	Haiyang Yu , Seizaburo Niitsuma, Detection of Displacement Vectors through Edge Segment Detection, IEICE - Transactions on Information and Systems, v.E91-D n.2, p.234-242, February 2008

INDEX TERMS

Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.10 Vision and Scene Understanding
Subjects: Motion
I.4 IMAGE PROCESSING AND COMPUTER VISION
I.5 PATTERN RECOGNITION

General Terms:
Algorithms, Measurement, Theory

REVIEW

"Oscar Firschein : Reviewer"

This is a major paper extending the work of the MIT AI Laboratory in analyzing a changing two-dimensional image to recover three-dimensional structure. Motion analysis consists of two parts: (1) the measurement of motion by assignment of directi more...

Collaborative Colleagues:

Ellen C. Hildreth: colleagues

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