Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization

• Main Authors: Meng, Min, Xia, Jiazhi, Luo, Jun, He, Ying
• 其他作者: School of Computer Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/105015; http://hdl.handle.net/10220/16822
• 機構: Nanyang Technological University

This paper presents an unsupervised algorithm for co-segmentation of a set of 3D shapes of the same family. Taking the over-segmentation results as input, our approach clusters the primitive patches to generate an initial guess. Then, it iteratively builds a statistical model to describe each cluste...