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Facial Feature Extraction using Nasal Masks from 3D Face Image  

김익동 (안동대학교 컴퓨터공학과)
심재창 (안동대학교 컴퓨터공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.4, 2004 , pp. 1-7 More about this Journal
Abstract
This paper proposes a new method for facial feature extraction, and the method could be used to normalize face images for 3D face recognition. 3D images are much less sensitive than intensity images at a source of illumination, so it is possible to recognize people individually. But input face images may have variable poses such as rotating, Panning, and tilting. If these variances ire not considered, incorrect features could be extracted. And then, face recognition system result in bad matching. So it is necessary to normalize an input image in size and orientation. It is general to use geometrical facial features such as nose, eyes, and mouth in face image normalization steps. In particular, nose is the most prominent feature in 3D face image. So this paper describes a nose feature extraction method using 3D nasal masks that are similar to real nasal shape.
Keywords
face recognition; feature extraction; nose localization; face normalization;
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