Presentation | 2015-03-16 A simple visual model for optical-flow estimation generates illusory patterns Daiki Nakamura, Shunji Satoh, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Computational models of vision should not only be able to reproduce the Input-Output relationship of the human vision or neural systems, but also should those models be able to predict the I/O of vision. First, we examine if an MT model proposed by authors can reproduce the dependency of background luminance of rotating drift-illusory patterns. Moreover, to evaluate the plausibility of the MT model, we generate an enormous set of possible visual patterns; 8^8=16,777,216 patterns, as inputs to the MT model. The numerical quantities of model outputs by computer simulation for 8^8 inputs can be used as estimation of humans' perception. By psychophysical experiments, we show that the model prediction is consistent with human perception. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Visual illusion / Lucas-Kanade method / MT / Computational model |
Paper # | MBE2014-143,NC2014-94 |
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Committee | NC |
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Conference Date | 2015/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | A simple visual model for optical-flow estimation generates illusory patterns |
Sub Title (in English) | |
Keyword(1) | Visual illusion |
Keyword(2) | Lucas-Kanade method |
Keyword(3) | MT |
Keyword(4) | Computational model |
1st Author's Name | Daiki Nakamura |
1st Author's Affiliation | Graduate School of Information Systems, The University of Electro-Communications() |
2nd Author's Name | Shunji Satoh |
2nd Author's Affiliation | Graduate School of Information Systems, The University of Electro-Communications |
Date | 2015-03-16 |
Paper # | MBE2014-143,NC2014-94 |
Volume (vol) | vol.114 |
Number (no) | 515 |
Page | pp.pp.- |
#Pages | 6 |
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