| Presentation | 2004/3/10 Analysis of the viewpoint dependency in human object recognition revealed by structural description in visual short-term memory Tomoyasu KATSURA, Taichi HAYASAKA, Shigeki NAKAUCHI, Shiro USUI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The coding process from the visual information of a 3-D object to its visual image is performed in the visual short-term memory (VSTM). Therefore, the accuracy of visual image coding may influence human performance of object recognition. We likened them to the upper limit of capacity of VSTM. In this study, we regarded the capacity of VSTM as the number of 3-D parts in objects. Then the relationship between such an amount and human performance of object recognition was analyzed quantitatively by psychophysical and numerical experiments. The task in our psychophysical experiments was to discriminate 3-D parts in the scene. The difference of the performance of object recognition was statistically significant between the cases where the number of parts was less than 2 and more than 3. Then we improved a computational model for human object recognition considering the limit on the number of parts. The results of psychophysical experiment were quantitatively explicable when using 2 to 3 parts in the model. These results suggest the upper limit of capacity of VSTM in this experiment conditions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | object recognition / VSTM / structural description / MetriCat model / viewpoint-dependent performance |
| Paper # | NC2003-150 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/3/10(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) | Analysis of the viewpoint dependency in human object recognition revealed by structural description in visual short-term memory |
| Sub Title (in English) | |
| Keyword(1) | object recognition |
| Keyword(2) | VSTM |
| Keyword(3) | structural description |
| Keyword(4) | MetriCat model |
| Keyword(5) | viewpoint-dependent performance |
| 1st Author's Name | Tomoyasu KATSURA |
| 1st Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology() |
| 2nd Author's Name | Taichi HAYASAKA |
| 2nd Author's Affiliation | Department of Information and Computer Engineering, Toyota National College of Technology |
| 3rd Author's Name | Shigeki NAKAUCHI |
| 3rd Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology |
| 4th Author's Name | Shiro USUI |
| 4th Author's Affiliation | Brain Science Institute, RIKEN |
| Date | 2004/3/10 |
| Paper # | NC2003-150 |
| Volume (vol) | vol.103 |
| Number (no) | 732 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |