@article{oai:kyutech.repo.nii.ac.jp:00003589,
 author = {守, 啓祐 and Mori, Keisuke and Sone, Toshimasa and Tan, Joo kooi and タン, ジュークイ and Kim, Hyungseop and 金, 亨燮 and Ishikawa, Seiji and 石川, 聖二},
 issue = {1},
 journal = {バイオメディカル・ファジィ・システム学会誌, Journal of Biomedical Fuzzy Systems Association},
 month = {Jun},
 note = {本論文は,仮想透視カメラ群を用いて,立体の全形状を一度に復元する方法を提案する.提案法は,複数のカメラで立体を囲み,後方の立体形状を手前のカメラ群で透視して見える形状に変換し,それを手前の形状に重ねる.また手前の立体形状を後方のカメラ群で透視して見える形状に変換し,それを後方の形状に重ねる.これらを全部まとめれば,立体を囲む全カメラでその全周形状が観察されたことになり,立体復元においてより強い幾何学的拘束が与えられることになる.この情報に因子分解を適用し,一度に全周形状を復元する.実験により,本法は先に提案した方法よりも高い精度で形状復元を行うことができることを確認した., This paper proposes a novel technique for recovering entire shape of a solid simultaneously by the employment of virtual see-through cameras. In the technique, a solid is surrounded by a set of cameras. The rear shape of the solid is transformed into the shape which would be observed from frontal cameras and it is superposed to the frontal shape, and vice versa. All this procedure results in that the entire shape of the solid is observed by all the cameras surrounding it. This gives stronger geometrical constraints in the shape recovery. The factorization is applied to this information and the entire shape recovers simultaneously. Experimental results show that this technique gives higher precision in the recovered shape than the technique proposed before by the authors},
 pages = {17--22},
 title = {仮想透視カメラ群を用いた立体の全周形状一括復元},
 volume = {11},
 year = {2009},
 yomi = {イシカワ, セイジ}
}