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

Report Date:

1987-01-01

Pagination or Media Count:

35.0

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