LETRIST : locally encoded transform feature histogram for rotation-invariant texture classification
Classifying texture images, especially those with significant rotation, illumination, scale, and viewpoint changes, is a fundamental and challenging problem in computer vision. This paper proposes a simple yet effective image descriptor, called Locally Encoded TRansform feature hISTogram (LETRIST),...
Main Authors: | Song, Tiecheng, Li, Hongliang, Meng, Fanman, Wu, Qingbo, Cai, Jianfei |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/142172 |
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