Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database(Image Recognition, Computer Vision)
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概要
- 論文の詳細を見る
Recently, researches and developments for measuring and modeling of the human body have been receiving much attention. Our aim is to reconstruct an accurate shape of a human foot from multiple camera images, which can capture dynamic behavior of the object. In this paper, a foot-shape database is used for accurate reconstruction of human foot. By using Principal Component Analysis, the foot shape can be represented with new meaningful variables. The dimensionality of the data is also reduced. Thus, the shape of object can be recovered efficiently, even though the object is partially occluded in some input views. To demonstrate the proposed method, two kinds of experiments are presented: reconstruction of human foot in a virtual reality environment with. CG multi-camera images, and in real world with eight CCD cameras. In the experiments, the reconstructed shape error with our method is around 2mm in average, while the error is more than 4mm with conventional volume intersection method.
- 社団法人電子情報通信学会の論文
- 2006-05-01
著者
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SAITO Hideo
Department of Urology, Tohoku University Hospital
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Kimura M
Laboratory Of Biochemistry Faculty Of Agriculture Graduate School Kyushu University
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Saito Hideo
Department Of Chemistry Graduate School Of Pure And Applied Sciences University Of Tsukuba
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Kawabe Masato
United Graduate School Of Agricultural Science Tokyo University Of Agriculture And Technology (tuat)
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WANG Jiahui
Research Institute for Digital Media and Content, Keio University
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KIMURA Makoto
Digital Human Research Center, National Institute of Advance Industrial Science and Technology
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MOCHIMARU Masaaki
Digital Human Research Center, National Institute of Advance Industrial Science and Technology
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KANADE Takeo
Digital Human Research Center, National Institute of Advance Industrial Science and Technology
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Kanade T
Digital Human Research Center National Institute Of Advance Industrial Science And Technology
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Wang Jiahui
Research Institute For Digital Media And Content Keio University
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Mochimaru Masaaki
Digital Human Research Center Aist Japan
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Mochimaru Masaaki
Digital Human Research Center Aist
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Saito H
Department Of Information And Computer Science Keio University
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Kimura Makoto
Digital Human Research Center Aist Japan
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