The Analysis of Visual Motion: From Computational Theory to Neuronal Mechanisms
| dc.date.accessioned | 2004-08-31T18:12:07Z | |
| dc.date.accessioned | 2018-11-24T10:09:36Z | |
| dc.date.available | 2004-08-31T18:12:07Z | |
| dc.date.available | 2018-11-24T10:09:36Z | |
| dc.date.issued | 1986-12-01 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.3/5512 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.3/5512 | |
| dc.description.abstract | This paper reviews a number of aspects of visual motion analysis in biological systems from a computational perspective. We illustrate the kinds of insights that have been gained through computational studies and how these observations can be integrated with experimental studies from psychology and the neurosciences to understand the particular computations used by biological systems to analyze motion. The particular areas of motion analysis that we discuss include early motion detection and measurement, the optical flow computation, motion correspondence, the detection of motion discontinuities, and the recovery of three-dimensional structure from motion. | en_US |
| dc.format.extent | 60 p. | en_US |
| dc.format.extent | 9408943 bytes | |
| dc.format.extent | 3725385 bytes | |
| dc.language.iso | en_US | |
| dc.subject | motion analysis | en_US |
| dc.subject | 3-D vision | en_US |
| dc.subject | object segmentation | en_US |
| dc.subject | velocitysfield | en_US |
| dc.subject | motion measurement | en_US |
| dc.subject | image analysis | en_US |
| dc.title | The Analysis of Visual Motion: From Computational Theory to Neuronal Mechanisms | en_US |
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