Face recognition has drawn considerable interest and attention from many researchers. Generally pattern recognition problem rely upon the features inherent in the pattern for efficient solution. Conversations are usually dominated by facial expressions. A baby can communicate with its mother through the expressions on its face. But there are several problems in analyzing communication between human beings through non-verbal communication such as facial expressions by a computer. In this chapter, video frames are extracted from image sequences. Using skin color detection techniques, face regions are identified. PCA is used to recognize faces. The feature points are located and their coordinates are extracted. Gabor wavelets are applied to these coordinates and to the images as a whole.
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Lekshmi, V.P., Sasikumar, M., Vidyadharan, D.S., Naveen, S. (2009). Facial Expression Analysis Using PCA. In: Ao, SI., Gelman, L. (eds) Advances in Electrical Engineering and Computational Science. Lecture Notes in Electrical Engineering, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2311-7_30
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