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Reflectance Maps for Non-Lambertian 3D Reconstruction / 反射マップを用いた非ランバート面の3次元形状復元

京都大学 / 新制・課程博士 / 博士(情報学) / 甲第25421号 / 情博第859号 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 西野 恒, 教授 西田 眞也, 教授 河原 達也 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

Identiferoai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/288855
Date25 March 2024
CreatorsYamashita, Kohei
Contributorsヤマシタ, コウヘイ
PublisherKyoto University, 京都大学
Source SetsKyoto University
LanguageEnglish
Detected LanguageEnglish
Typedoctoral thesis, Thesis or Dissertation
Rights? 2023 IEEE. Kohei Yamashita, Yuto Enyo, Shohei Nobuhara, and Ko Nishino, ``nLMVS-Net: Deep Non-Lambertian Multi-View Stereo'', in Proc. of Winter Conference on Applications of Computer Vision (WACV), 2023. ? 2024 IEEE. Kohei Yamashita, Shohei Nobuhara, and Ko Nishino, ``DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lighting'', in Proc. of International Conference on 3D Vision (3DV), 2024. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University’s products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink. If applicable, University Microfilms and/or ProQuest Library, or the Archives of Canada may supply single copies of the dissertation.

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