Face Component Extraction Using Multiresolution Image


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 12, pp. 3675-3682, Dec. 1999
10.3745/KIPSTE.1999.6.12.3675,   PDF Download:

Abstract

This paper proposes the method to extract face components without using the color information and the motion information in a gray image. A laplacian pyramid of the original image is built. Eye and nose candidates are extracted using only the gray information in a low resolution laplacian image and pairs are found that consist of two eye candidates and a nose one. At full resolution, horizontal and vertical edges are found in the regions of face components which are established using the candidates. Using those edge informations, face components are extracted. The experiments have been performed for images with various sizes and positions of face, and show very encouraging result.


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Cite this article
[IEEE Style]
K. S. Jang, "Face Component Extraction Using Multiresolution Image," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 12, pp. 3675-3682, 1999. DOI: 10.3745/KIPSTE.1999.6.12.3675.

[ACM Style]
Kyung Shik Jang. 1999. Face Component Extraction Using Multiresolution Image. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 12, (1999), 3675-3682. DOI: 10.3745/KIPSTE.1999.6.12.3675.