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Facial Feature Localization from 3D Face Image using Adjacent Depth Differences  

김익동 (안동대학교 컴퓨터공학과)
심재창 (안동대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Software and Applications / v.31, no.5, 2004 , pp. 617-624 More about this Journal
Abstract
This paper describes a new facial feature localization method that uses Adjacent Depth Differences(ADD) in 3D facial surface. In general, human recognize the extent of deepness or shallowness of region relatively, in depth, by comparing the neighboring depth information among regions of an object. The larger the depth difference between regions shows, the easier one can recognize each region. Using this principal, facial feature extraction will be easier, more reliable and speedy. 3D range images are used as input images. And ADD are obtained by differencing two range values, which are separated at a distance coordinate, both in horizontal and vertical directions. ADD and input image are analyzed to extract facial features, then localized a nose region, which is the most prominent feature in 3D facial surface, effectively and accurately.
Keywords
3D face recognition; feature localization; adjacent depth difference;
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