Facial Expression Recognition and Analysis: A Comparison Study of Feature Descriptors

Author:

Liew Chun Fui1,Yairi Takehisa1

Affiliation:

1. The University of Tokyo

Publisher

Information Processing Society of Japan

Subject

Computer Vision and Pattern Recognition

Reference67 articles.

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2. [2] Papageorgiou, C., Oren, M. and Poggio, T.: A General Framework for Object Detection, Proc. 6th International Conference on Computer Vision, pp.555-562 (1998).

3. [3] Ojala, T., Pietikainen, M. and Harwood, D.: Performance Evaluation of Texture Measures with Classification based on Kullback Discrimination of Distributions, Proc. 12th International Conference on Pattern Recognition, pp.582-585 (1994).

4. [4] Dalal, N. and Triggs, B.: Histograms of Oriented Gradients for Human Detection, Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.886-893 (2005).

5. [5] Ozuysal, M., Calonder, M., Lepetit, V. and Fua, P.: Fast Keypoint Recognition Using Random Ferns, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.32, No.3, pp.448-461 (2010).

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