Presentation | 2004/12/9 Generative models and model selection for the perception of structure from motion Nobuhiko ASAKURA, Masao OHMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a theoretical framework for the perception of 3-D structure from motion that builds on the concepts of a generative model and model selection. This framework claims that the human visual system can make use of generative models of rigid and nonrigid motion for generating predictions of incoming moving images, and select an appropriate model for the recovery of 3-D structure from given moving images based on the compatibility between the predicted and given image data. We present supporting psychophysical evidence that rigid motion displays tend to be perceived as nonrigid when they are incompatible with the predictions of the generative model for rigid motion. We also show that the process of model selection can be viewed as a Bayesian decision process. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Structure from motion / Rigidity assumption / Generative model / Model selection |
Paper # | HIP2004-64 |
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Committee | HIP |
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Conference Date | 2004/12/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Generative models and model selection for the perception of structure from motion |
Sub Title (in English) | |
Keyword(1) | Structure from motion |
Keyword(2) | Rigidity assumption |
Keyword(3) | Generative model |
Keyword(4) | Model selection |
1st Author's Name | Nobuhiko ASAKURA |
1st Author's Affiliation | Human Information System laboratory, Kanazawa Institute of Technology() |
2nd Author's Name | Masao OHMI |
2nd Author's Affiliation | Human Information System laboratory, Kanazawa Institute of Technology |
Date | 2004/12/9 |
Paper # | HIP2004-64 |
Volume (vol) | vol.104 |
Number (no) | 525 |
Page | pp.pp.- |
#Pages | 6 |
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