Bayesian Perception and Representation of Visual Motion |
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| Air date: | Monday, March 10, 2008, 12:00:00 PM |
| Category: | Neuroscience |
| Runtime: | 75 minutes |
| NLM Title: | Bayesian perception and representation of visual motion [electronic resource] / Eero Simoncelli. |
| Series: | NIH neuroscience seminar series |
| Author: | Simoncelli, Eero. National Institutes of Health (U.S.) |
| Publisher: | [Bethesda, Md. : National Institutes of Health, 2008] |
| Other Title(s): | NIH neuroscience seminar series |
| Abstract: | (CIT): Dr Simoncelli's research addresses a variety of basic issues in the analysis and representation of visual images. The work is interdisciplinary, spanning computational neuroscience, image processing, and computer vision. It is motivated by three broad goals: 1) construction of mathematical theories for the representation of visual information, including statistical models of visual images. 2) development of functional models for biological visual processing. Recent developments include a new functional model that unifies the properties of direction selective neurons in two visual areas (V1 and MT) and 3) creation of novel algorithms for image processing and computer vision applications. NIH Neuroscience Seminar Series. |
| Subjects: | Models, Neurological Motion Perception |
| Publication Types: | Government Publications |
| Download: | Download
Video How to download a Videocast |
| NLM Classification: | WW 105 |
| NLM ID: | 101470349 |
| CIT File ID: | 14347 |
| CIT Live ID: | 6181 |
| Permanent link: | http://videocast.nih.gov/launch.asp?14347 |
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Enhanced Audio Podcast | 1:11:41 |
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Enhanced Video Podcast | 1:11:41 | |