3D Shape Descriptor by Principal Component Analysis Embedding for Non-rigid 3D Shape Retrieval in A Learning Framework
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)（2021）
摘要
In the paper, we propose a 3D shape descriptor which can be applied to areas such as non-rigid 3D shape analysis and retrieval. We start with the calculation of the Wave Kernel Signature (WKS) and the scale-invariant Heat Kernel Signature (siHKS) of surface points belong to a 3D shape. Then we combine them together and obtain their principle components by PCA (principle component analysis), which ...
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关键词
Learning systems,Heating systems,Three-dimensional displays,Shape,Surface waves,Transforms,Machine learning
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