Seeing in parallel
Journal Article
·
· Int. J. Supercomput. Appl.; (United States)
Computer algorithms have been developed for early vision processes that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. The MIT Vision Machine is a computer system that integrates several early vision modules to achieve high-performance recognition and navigation in unstructured environments. It is also an experimental environment for theoretical progress in early vision algorithms, their parallel implementation, and their integration. The Vision Machine consists of a movable, two-camera Eye-Head input device and an 8K Connection Machine. The authors have developed and implemented several parallel early vision algorithms that compute edge detection, stereopsis, motion, texture, and surface color in close to real time. The integration stage, based on coupled Markov random field models, leads to a cartoon-like map of the discontinuities in the scene, with partial labeling of the brightness edges in terms of their physical origin.
- Research Organization:
- MIT, Cambridge, MA (US)
- OSTI ID:
- 6242536
- Journal Information:
- Int. J. Supercomput. Appl.; (United States), Journal Name: Int. J. Supercomput. Appl.; (United States) Vol. 2:4; ISSN IJSAE
- Country of Publication:
- United States
- Language:
- English
Similar Records
Parallel algorithms for computer vision. Final report, 31 August 1988-31 January 1990
Parallel algorithms for computer vision. Annual report No. 2, 31 August 1986-31 August 1987
Parallel algorithms for computer vision. Annual report No. 3, 31 August 1987-31 August 1988
Technical Report
·
Sat Mar 31 23:00:00 EST 1990
·
OSTI ID:6637970
Parallel algorithms for computer vision. Annual report No. 2, 31 August 1986-31 August 1987
Technical Report
·
Mon Feb 29 23:00:00 EST 1988
·
OSTI ID:6265188
Parallel algorithms for computer vision. Annual report No. 3, 31 August 1987-31 August 1988
Technical Report
·
Sat Dec 31 23:00:00 EST 1988
·
OSTI ID:5213578