Parallel algorithms for computer vision. Final report, 31 August 1988-31 January 1990
The main effort in this project has been directed towards the development of an integrated vision system, - the Vision Machine - based on a parallel supercomputer. The core of the Vision Machine is in fact a set of parallel algorithms for visual recognition and navigation in an unstructured environment. The present version of the Vision Machine has been demonstrated to process images in close to real time by (1) computing first several low-level cues, such as edges, stereo disparity, optical flow, color and texture, (2) integrating them to extract a cartoon-like description of the scene in terms of the physical discontinuities of surfaces, and (3) using this cartoon in a recognition stage, based on parallel model matching. In addition to the development of the parallel algorithms, their implementation and testing, we have also done substantial work in several areas that are very closely related. These include (1) design and fabrication of VLSI circuits to transfer to potentially cheap and fast hardware some of the software algorithms, (2) initial development of techniques to synthesize by learning vision algorithms, and (3) several projects involving autonomous navigation of small robots.
- Research Organization:
- Massachusetts Inst. of Tech., Cambridge, MA (USA). Artificial Intelligence Lab.
- OSTI ID:
- 6637970
- Report Number(s):
- AD-A-221871/7/XAB
- Resource Relation:
- Other Information: See also AD-A183 755, AD-A203 947 and AD-A212 489
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
IMAGE PROCESSING
ALGORITHMS
ROBOTS
VISION
SUPERCOMPUTERS
PARALLEL PROCESSING
COMPUTER CODES
COMPUTER GRAPHICS
ENVIRONMENT
LEARNING
OPTICAL PROPERTIES
PATTERN RECOGNITION
PHYSICAL PROPERTIES
PROGRESS REPORT
REAL TIME SYSTEMS
SURFACES
COMPUTERS
DIGITAL COMPUTERS
DOCUMENT TYPES
MATHEMATICAL LOGIC
PROCESSING
PROGRAMMING
990200* - Mathematics & Computers