| Presentation | 2007-03-16 Computational model for filling-in at the blind spot utilizing regularization theory and biological findings Shunji SATOH, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A visual model for filling-in at the blind spot is proposed. Standard regularization theory is employed to derive a visual model deductively. First, some problems of the diffusion eqation, which is frequently used for depth perception, are pointed out. Then, the computational role of a neural property discovered by Matsumoto and Komatsu (J. Neurophysiology, vol.93, pp.2374-2387, 2005) is reconsidered, and second derivative quantities, curvature of level-set and curvature of flow line, are appended into a priori knowledge of image on the blind spot. Moreover, two different kinds of information paths for filling-in (slow conductive paths of horizontal connections in V1, and fast feedforward/feedback paths via V2) is regarded as a neural implementation of adiabatic approximation between V1 and V2. Numerical simulations show that the outputs of the computational model for filling-in is consistent with a neurophysiological experimental result, and that the model is a powerful tool for digital image inpainting. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | blind spot / V1 / V2 / filling-in / standard regularization theory / adiabatic approximation |
| Paper # | NC2006-186 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2007/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Computational model for filling-in at the blind spot utilizing regularization theory and biological findings |
| Sub Title (in English) | |
| Keyword(1) | blind spot |
| Keyword(2) | V1 |
| Keyword(3) | V2 |
| Keyword(4) | filling-in |
| Keyword(5) | standard regularization theory |
| Keyword(6) | adiabatic approximation |
| 1st Author's Name | Shunji SATOH |
| 1st Author's Affiliation | Department of Information Science for Human Welfare, Tohoku Pukushi University() |
| Date | 2007-03-16 |
| Paper # | NC2006-186 |
| Volume (vol) | vol.106 |
| Number (no) | 590 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |