SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
IEEE Transactions on Visualization and Computer Graphics(2022)
Abstract
Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications. Existing methods for 3D shape segmentation suffer from complex geometry processing and heavy computation caused by using low-level features and fragmented segmentation results due to the lack of global consideration. We pres...
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Key words
Shape,Three-dimensional displays,Semantics,Feature extraction,Transforms,Geometry,Skeleton
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