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| Presentation | 2022-11-04 16:30 Fitness Evaluation Based on 3D Model Generation System by Fractal Model and Genetic Algorithm Kaito Watanabe, Naoto Hoshikawa (NIT, Oyama College), Hirotaka Nakayama (NAOJ), Atushi Shiraki, Tomoyoshi Ito (Chiba Univ)  KBSE2022-36 SC2022-31 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the 3DCG-related industry has grown rapidly, and the demand for 3DCG content creation has increased, but 3DCG production requires specialized skills and a great deal of time. In particular, the background data is large-scale, and it is a problem that many human resources cannot be allocated. Therefore, in this research, we propose an AI that automates the work involved in creating large-scale 3D models. The proposed system consists of 3D model generation, optimization of parameters for generation, and fitness evaluation. In this research, we propose a method using AKAZE and VGG19 for fitness evaluation and discuss the optimization behavior through experiments. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Fractal Model / Genetic Algorithm / 3D-Modeling / 3DCG / AKAZE / VGG19 / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 239, SC2022-31, pp. 31-36, Nov. 2022. | |
| Paper # | SC2022-31 | |
| Date of Issue | 2022-10-28 (KBSE, SC) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | KBSE2022-36 SC2022-31 |
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| Conference Information | |
| Committee | KBSE SC |
| Conference Date | 2022-11-04 - 2022-11-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SC |
| Conference Code | 2022-11-KBSE-SC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fitness Evaluation Based on 3D Model Generation System by Fractal Model and Genetic Algorithm |
| Sub Title (in English) | |
| Keyword(1) | Fractal Model |
| Keyword(2) | Genetic Algorithm |
| Keyword(3) | 3D-Modeling |
| Keyword(4) | 3DCG |
| Keyword(5) | AKAZE |
| Keyword(6) | VGG19 |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kaito Watanabe |
| 1st Author's Affiliation | National Institute of Technology, Oyama College (NIT, Oyama College) |
| 2nd Author's Name | Naoto Hoshikawa |
| 2nd Author's Affiliation | National Institute of Technology, Oyama College (NIT, Oyama College) |
| 3rd Author's Name | Hirotaka Nakayama |
| 3rd Author's Affiliation | National Astronomical Observatory of Japan (NAOJ) |
| 4th Author's Name | Atushi Shiraki |
| 4th Author's Affiliation | Chiba University (Chiba Univ) |
| 5th Author's Name | Tomoyoshi Ito |
| 5th Author's Affiliation | Chiba University (Chiba Univ) |
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| Speaker | Author-1 |
| Date Time | 2022-11-04 16:30:00 |
| Presentation Time | 45 minutes |
| Registration for | SC |
| Paper # | KBSE2022-36, SC2022-31 |
| Volume (vol) | vol.122 |
| Number (no) | no.238(KBSE), no.239(SC) |
| Page | pp.31-36 |
| #Pages | 6 |
| Date of Issue | 2022-10-28 (KBSE, SC) |
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