Parallel vision algorithms. Annual technical report No. 1, 1 October 1986-30 September 1987

Technical Report · Thu Oct 01 04:00:00 EDT 1987

OSTI ID:5634696

Ibrahim, H A; Kender, J R; Brown, L G

The objective of this project is to develop and implement, on highly parallel computers, vision algorithms that combine stereo, texture, and multi-resolution techniques for determining local surface orientation and depth. Such algorithms will immediately serve as front-ends for autonomous land vehicle navigation systems. During the first year of the project, efforts have concentrated on two fronts. First, developing and testing the parallel programming environment that will be used to develop, implement and test the parallel vision algorithms. Second, developing and testing multi-resolution stereo, and texture algorithms. This report describes the status and progress on these two fronts. The authors describe first the programming environment developed, and mapping scheme that allows efficient use of the connection machine for pyramid (multi-resolution) algorithms. Second, they present algorithms and test results for multi-resolution stereo, and texture algorithms. Also the initial results of the starting efforts of integrating stereo and texture algorithms are presented.

• Research Organization: Columbia Univ., New York, NY (USA). Dept. of Computer Science
• OSTI ID: 5634696
• Report Number(s): AD-A-208271/7/XAB; CUCS--271-87
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990210* -- Supercomputers-- (1987-1989)
ALGORITHMS
ARTIFICIAL INTELLIGENCE
COMPUTER GRAPHICS
DOCUMENT TYPES
EFFICIENCY
MAPPING
MATHEMATICAL LOGIC
PARALLEL PROCESSING
PROGRAMMING
PROGRESS REPORT