Accession Number : ADA133633

Title :   The Smoothest Velocity Field and Token Matching Schemes.

Descriptive Note : Memorandum rept.,

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s) : Yuille,A L

PDF Url : ADA133633

Report Date : Aug 1983

Pagination or Media Count : 12

Abstract : 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. 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 visions systems, and for the study of human vision.

Descriptors :   *Pattern recognition, *Contours, *Image processing, Artificial intelligence, Motion, Visual signals, Computer graphics, Matching

Subject Categories : Optics
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE