Accession Number : ADA183755

Title :   Parallel Algorithms for Computer Vision.

Descriptive Note : Contract rept. 31 Aug 85-31 Aug 86,

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE

Personal Author(s) : Poggio,Tomaso ; Little,James

PDF Url : ADA183755

Report Date : Jan 1987

Pagination or Media Count : 35

Abstract : The general goals of this research effort is to explore the potential applications and performance of fine grained computer architectures for vision. The body of this report gives a brief overview of the results of the research during the first twelve months of effort. A taxonomy of parallel vision algorithms has been refined. Parallel versions of several Class 1 algorithms (for early vision, directly derived from regularization methods) have been designed. This preparatory work allowed the implementation of several of these algorithms on the Connection Machine within a few days when it became available to the researchers. Class 2 and 3 algorithms have also been designed, while at the same time studying some of the associated basic problems in recognition and representation. (Author)

Descriptors :   *VISION, *ALGORITHMS, *AUTONOMOUS NAVIGATION, *COMPUTER GRAPHICS, ALGORITHMS, COMPUTERS, COMPUTER ARCHITECTURE, PARALLEL PROCESSING, CATIONS, TAXONOMY

Subject Categories : Navigation and Guidance
      Computer Programming and Software

Distribution Statement : APPROVED FOR PUBLIC RELEASE