Force field based expression for 3D shape retrieval
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
3D mesh segmentation using mean-shifted curvature
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
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3D mesh segmentation has been widely used in fields such as Computer Vision. Existing algorithms have the problems of over- and under-merging when performing 3D mesh segmentation. In this paper, we propose a robust and efficient segmentation algorithm using a so-called two-stage merging strategy. We first define a flatness measure for mesh faces, and partition the given mesh model into different patches based on the flatness measure. In order to handle the over- and under-merging problems, we first perform a local merging operation and then a global merging operation. Experiments show that our algorithm is effective, and works well even for models without obvious part boundaries at their joints.