Robust Motion Vision
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{'SignBlockName': 'K. (Cheena) Srinivasan', 'PO_EMAI': None, 'PO_PHON': None}
This work studies the basic constraint relating changes in image                irradiance and relative motion of an image-sensing system with respect          to the environment.  The solution for the motion, as well as the shapes         of the objects in the environment, given time-varying images, is based          on a calculus of variation formulation.  It is expected that the                discrete versions of the resulting Euler equations can be solved using          iterative methods applied to a grid.  Algorithms to recover motion and          shape are tested, and a design for real-time hardware implementation is         developed.  The planned approach uses information from whole image              regions instead of special feature points.  This approach also avoids           the computation of optical flow, an intermediate product used in one            previous partial solution of this problem.  An important goal is the            development of algorithms which can be executed in a cooperative                fashion on a grid, utilizing recently developed architectures for               parrallel computing.
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