3D Patch-Based Sparse Learning for Style Feature Extraction

3D Patch-Based Sparse Learning for Style Feature Extraction

How to extract features of different shapes for style similarity evaluation is a very challenging research topic. Different from methods based on predefined style templates, we perform sparse learning and triplet embedding directly from the 3D shape local descriptors. The proposed method can adaptiv...

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Bibliographic Details
Main Authors: Xiang Pan, Jie Lu, Fuchang Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
3D shape analysis
style feature
sparse learning
3D patch
Online Access:https://ieeexplore.ieee.org/document/8907810/

Internet

https://ieeexplore.ieee.org/document/8907810/

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