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The Smoothest Velocity Field and Token Matching

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dc.creator Yuille, A.L.
dc.date 2004-10-01T20:18:14Z
dc.date 2004-10-01T20:18:14Z
dc.date 1983-08-01
dc.date.accessioned 2013-10-09T02:40:33Z
dc.date.available 2013-10-09T02:40:33Z
dc.date.issued 2013-10-09
dc.identifier AIM-724
dc.identifier http://hdl.handle.net/1721.1/5652
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description This paper presents some mathematical results concerning the measurement of motion of contours. A fundamental problem of motion measurement in general is that the velocity field is not determined uniquely from the changing intensity patterns. Recently Hildreth & Ullman have studied a solution to this problem based on an Extremum Principle [Hildreth (1983), Ullman & Hildreth (1983)]. That is, they formulate the measurement of motion as the computation of the smoothest velocity field consistent with the changing contour. We analyse this Extremum principle and prove that it is closely related to a matching scheme for motion measurement which matches points on the moving contour that have similar tangent vectors. We then derive necessary and sufficient conditions for the principle to yield the correct velocity field. These results have possible implications for the design of computer vision systems, and for the study of human vision.
dc.format 10 p.
dc.format 1408443 bytes
dc.format 1077372 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-724
dc.subject motion measurement
dc.subject velocity field
dc.subject optical flow
dc.subject szero crossings
dc.subject motion perception
dc.title The Smoothest Velocity Field and Token Matching


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