Face recognition using multi-scale local phase quantisation and Linear Regression Classifier

@article{Tahir2011FaceRU,
  title={Face recognition using multi-scale local phase quantisation and Linear Regression Classifier},
  author={Muhammad Atif Tahir and Chi-Ho Chan and Josef Kittler and Ahmed Bouridane},
  journal={2011 18th IEEE International Conference on Image Processing},
  year={2011},
  pages={765-768}
}
Linear Regression Classifier (LRC) is state-of-the-art face recognition method that represent a probe image as a linear combination of class specific models. However, this method views the image as a point in a feature space, and thus LRC cannot accommodate severe luminance alterations. Histogram-based features, such as Multiscale Local Phase Quantisation histogram (MLPQH) have gained reputation as powerful and attractive texture descriptors showing excellent results in terms of accuracy and… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
8 Extracted Citations
10 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 10 references

Similar Papers

Loading similar papers…