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Parallel architectures and parallel algorithms for integrated vision systems. ph.d. thesis
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Choudhary, Alok Nidhi |
| Copyright Year | 1989 |
| Description | Computer vision is regarded as one of the most complex and computationally intensive problems. An integrated vision system (IVS) is a system that uses vision algorithms from all levels of processing to perform for a high level application (e.g., object recognition). An IVS normally involves algorithms from low level, intermediate level, and high level vision. Designing parallel architectures for vision systems is of tremendous interest to researchers. Several issues are addressed in parallel architectures and parallel algorithms for integrated vision systems. |
| File Size | 5423618 |
| Page Count | 188 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19900002899 |
| Archival Resource Key | ark:/13960/t05x77659 |
| Language | English |
| Publisher Date | 1989-09-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Vision Fault Tolerance Hierarchies Algorithms Image Processing Resource Allocation Strategy Pattern Recognition Architecture Computers Multiprocessing Computers Systems Integration Parallel Processing Computers Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Thesis |
