Hierarchical analysis of visual motion
| Autor: | George Meghabghab, A. Kandel |
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| Rok vydání: | 1992 |
| Předmět: | |
| Zdroj: | IEEE Transactions on Systems, Man, and Cybernetics. 22:813-820 |
| ISSN: | 0018-9472 |
| DOI: | 10.1109/21.156593 |
| Popis: | A hierarchical data structure for analyzing visual motion is presented. Although the literature on perception is abundant with studies on visual motion, none of the studies investigated the importance of a hierarchical model in the analysis of visual motion. The model was implemented on a supercomputer (Cyber 205). The algorithms of hierarchical correlation were performed on binary images. The results are compared with those obtained using similar serial algorithms. The impact of such a hierarchy on component directional selectivity and on pattern directional selectivity is studied. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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