Compact Dominant Synergistic Excitation Pattern Learning for Illumination-Insensitive Image Representation With Boosting

Compact Dominant Synergistic Excitation Pattern Learning for Illumination-Insensitive Image Representation With Boosting

Illumination-insensitive image representation is a great challenge in the computer vision field. Illumination variations considerably obstruct the effectiveness of image feature extraction. In this paper, we present a novel and generalized learning framework for illumination-insensitive image repres...

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Bibliographic Details
Main Authors: Tao Gao, Ting Chen, C. C. Wang, Zhanwen Liu, Wei Lu, Y. H. Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Feature extraction
Weber law
feature learning
illumination variations
Online Access:https://ieeexplore.ieee.org/document/8674724/

Internet

https://ieeexplore.ieee.org/document/8674724/

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