IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating realistic facial expressions with wrinkles for model-based coding
Computer Vision and Image Understanding
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Probabilistic expression analysis on manifolds
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
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The variation of facial texture and surface due to the change of expression is an important cue for analyzing and modeling facial expressions. In this paper, we propose a new approach to represent the facial expression by using a so-called topographic feature. In order to capture the variation of facial surface structure, facial textures are processed by increasing the resolution. The topographical structure of human face is analyzed based on the resolution-enhanced textures. We investigate the relationship between the facial expression and its topographic features, and propose to represent the facial expression by the topographic labels. The detected topographic facial surface and the expressive regions reflect the status of facial skin movement. Based on the observation that the facial texture and its topographic features change along with facial expressions, we compare the disparity of these features between the neutral face and the expressive face to distinguish a number of universal expressions. The experiment demonstrates the feasibility of the proposed approach for facial expression representation and recognition.