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Automatic face recognition is now widely used in applications ranging from deduplication of identity to authentication of mobile payment. This popularity of face recognition has raised concerns about face spoof attacks (also known as biometric sensor presentation attacks), where a photo or video of an authorized person’s face could be used to gain access to facilities or services. While a number of...
Age estimation via face images has recently attracted a lot of researches in computer vision, due to its many potential applications. In this paper, a novel Bisection Search Tree (BST) algorithm is proposed for face age estimation, based on the idea of Divide and Conquer. Different from those conventional classification or regression approaches, the BST first constructs a binary tree according to...
In this paper, we propose a novel generative method which could generate images with different illuminations by using a single front-lighted sample. The generative method is based on the linear Lambertian property and requires a bootstrap set with multiple subjects and specific illuminations for each subject. During the generation process, we also propose a scale decomposition method to retain the...
Existing face recognition approaches are mostly developed based on adult faces which may not work well in distinguishing faces of kids. Especially, baby faces tend to have common features such as round cheeks and chins, so that current face recognition engines often fail to differentiate them. In this paper, we present methods for discriminating baby faces from adult faces, and for training a special...
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