| Presentation | 2006/1/6 Estimating cluster degree in BOID algorithm Yoshihito Oyama, Mizuho Numata, Kayo Ikeda, Koichi Emura, Terumasa Aoki, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, the Computer-Graphics (CG) technology has remarkable development and can show us virtual world near the real world in the computer. However, it is difficult to evaluate quantitatively the virtual world near the real world. In this article, we reproduce cluster (ex. animals or people) by using the BOID algorithm and evaluate its CG by using order parameters that we define with distance and angle among characters. We report our results and problems. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | AI2005-30 |
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| Committee | AI |
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| Conference Date | 2006/1/6(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimating cluster degree in BOID algorithm |
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| 1st Author's Name | Yoshihito Oyama |
| 1st Author's Affiliation | Research Institute for Electorical Science, Hokkaido Univ.:Research Center for Advanced Science and Technology, University of Tokyo() |
| 2nd Author's Name | Mizuho Numata |
| 2nd Author's Affiliation | Excellead Technology:Research Center for Advanced Science and Technology, University of Tokyo |
| 3rd Author's Name | Kayo Ikeda |
| 3rd Author's Affiliation | Excellead Technology:Research Center for Advanced Science and Technology, University of Tokyo |
| 4th Author's Name | Koichi Emura |
| 4th Author's Affiliation | Research Center for Advanced Science and Technology, University of Tokyo |
| 5th Author's Name | Terumasa Aoki |
| 5th Author's Affiliation | Research Center for Advanced Science and Technology, University of Tokyo |
| Date | 2006/1/6 |
| Paper # | AI2005-30 |
| Volume (vol) | vol.105 |
| Number (no) | 510 |
| Page | pp.pp.- |
| #Pages | 7 |
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