Automatic Lipreading Using Color Lip Images and Principal Component Analysis 


Vol. 15,  No. 3, pp. 229-236, Jun.  2008
10.3745/KIPSTB.2008.15.3.229


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  Abstract

This paper examines effectiveness of using color images instead of grayscale ones for automatic lipreading. First, we show the effect of color information for performance of humans' lipreading. Then, we compare the performance of automatic lipreading using features obtained by applying principal component analysis to grayscale and color images. From the experiments for various color representations, it is shown that color information is useful for improving performance of automatic lipreading; the best performance is obtained by using the RGB color components, where the average relative error reductions for clean and noisy conditions are 4.7% and 13.0%, respectively.

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[IEEE Style]

J. S. Lee and C. H. Park, "Automatic Lipreading Using Color Lip Images and Principal Component Analysis," The KIPS Transactions:PartB , vol. 15, no. 3, pp. 229-236, 2008. DOI: 10.3745/KIPSTB.2008.15.3.229.

[ACM Style]

Jong Seok Lee and Cheol Hoon Park. 2008. Automatic Lipreading Using Color Lip Images and Principal Component Analysis. The KIPS Transactions:PartB , 15, 3, (2008), 229-236. DOI: 10.3745/KIPSTB.2008.15.3.229.

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