Consensus strategy for clustering using RC-images
作者：
Highlights：
• This work eliminates the imposition of a unique metric and a complete clustering.
• RC-image is an original 3D shape descriptor which represents the whole object.
• Clustering consensus between several similarity metrics under a common framework.
• Consistent clusters: understanding at the expense of an incomplete classification.
• Successful test on a set of mesh models of a wide variety of free-shape objects.
摘要
•This work eliminates the imposition of a unique metric and a complete clustering.•RC-image is an original 3D shape descriptor which represents the whole object.•Clustering consensus between several similarity metrics under a common framework.•Consistent clusters: understanding at the expense of an incomplete classification.•Successful test on a set of mesh models of a wide variety of free-shape objects.
论文关键词：3D shape representation,3D Shape similarity,3D Object Clustering
论文评审过程：Received 7 November 2011, Revised 2 May 2013, Accepted 5 July 2013, Available online 20 July 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.07.006
