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ICB
2009
Springer

Automatic Partial Face Alignment in NIR Video Sequences

11 years 3 months ago
Automatic Partial Face Alignment in NIR Video Sequences
Face recognition with partial face images is an important problem in face biometrics. The necessity can arise in not so constrained environments such as in surveillance video, or portal video as provided in Multiple Biometrics Grand Challenge (MBGC). Face alignment with partial face images is a key step toward this challenging problem. In this paper, we present a method for partial face alignment based on scale invariant feature transform (SIFT). We first train a reference model using holistic faces, in which the anchor points and their corresponding descriptor subspaces are learned from initial SIFT keypoints and the relationships between the anchor points are also derived. In the alignment stage, correspondences between the learned holistic face model and an input partial face image are established by matching keypoints of the partial face to the anchor points of the learned face model. Furthermore, shape constraint is used to eliminate outlier correspondences and temporal constraint...
Jimei Yang, ShengCai Liao, Stan Z. Li
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICB
Authors Jimei Yang, ShengCai Liao, Stan Z. Li
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