@inproceedings{oai:kyutech.repo.nii.ac.jp:00000132,
 author = {Kawano, Hideaki and 河野, 英昭 and Sasaki, Atsumori and Maeda, Hiroshi and Ikoma, Norikazu},
 book = {2006 IEEE International Conference on Fuzzy Systems},
 month = {Jul},
 note = {In this paper, a novel fuzzy-clustering-basedmethod for 3D shape modeling is proposed. This method isintended for scenes involving multiple objects, where eachobject is replaced by a primitive model. The proposed method iscomposed of three stages. In the first stage, 3D data isreconstructed using stereo matching technique from a stereoimage taking multiple objects. Next, the 3D data is divided intoa single object by employing a Fuzzy c-Means augmented withPrincipal Component Analysis (PCA) and a criterion about thenumber of clusters. Finally, the shape of each object isextracted by Fuzzy c-Varieties with Noise Clustering., Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, CanadaJuly 16-21, 2006},
 pages = {609--614},
 title = {3D Shape Modeling Employing Fuzzy Clustering for Stereo Vision},
 year = {2006},
 yomi = {カワノ, ヒデアキ}
}