Face modeling for recognition

3D Human face models have been widely used in applications such as face recognition, facial expression recognition, human action recognition, head tracking, facial animation, video compression/coding, and augmented reality. Modeling human faces provides a potential solution to the variations encountered on human face images. We propose a method of modeling human faces based on a generic face model (a triangular mesh model) and individual facial measurements containing both shape and texture information. The modeling method adapts a generic face model to the given facial features, extracted from registered range and color images, in a global-to-local fashion. It iteratively moves the vertices of the mesh model to smoothen the nonfeature areas, and uses the 2.5D active contours to refine feature boundaries. The resultant face model has been shown to be visually similar to the true face. Initial results show that the constructed model is quite useful for recognizing profile views.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Rein-Lien Hsu, Anil K. Jain
• Keywords: Generic Face Model, Human Face Images, Human Face Models, ICIP 2001, Image Processing