COLOR CHILD: A Robust and Computationally Efficient Color Image Local Descriptor
Abstract
Designing a robust image local descriptor for the purpose of pattern recognition and classification has been an active area of research to date. In this paper a robust and computationally efficient Color moments augmented Cumulative Histogram-based Image Local Descriptor called COLOR CHILD has been proposed. The above descriptor has outperformed all the image local descriptors of parametric and non-parametric types quoted as recently as April 2013 in the literature for texture classification. We have demonstrated the efficacy of the proposed descriptor on a variety of benchmark texture databases such as KTH-TIPS2-a, KTH-TIPS2-b, and CuReT under both noiseless and noisy conditions.
Cite
Text
Anamandra and Chandrasekaran. "COLOR CHILD: A Robust and Computationally Efficient Color Image Local Descriptor." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014. doi:10.1109/WACV.2014.6836096Markdown
[Anamandra and Chandrasekaran. "COLOR CHILD: A Robust and Computationally Efficient Color Image Local Descriptor." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014.](https://mlanthology.org/wacv/2014/anamandra2014wacv-color/) doi:10.1109/WACV.2014.6836096BibTeX
@inproceedings{anamandra2014wacv-color,
title = {{COLOR CHILD: A Robust and Computationally Efficient Color Image Local Descriptor}},
author = {Anamandra, Sai Hareesh and Chandrasekaran, Venkatachalam},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2014},
pages = {227-234},
doi = {10.1109/WACV.2014.6836096},
url = {https://mlanthology.org/wacv/2014/anamandra2014wacv-color/}
}