Abstract
Automatic face recognition has achieved great advances over the past two decades, with good performance achieved under certain const rained conditions. However, the solution is still challenged by variations in illumination, facial pose and expression. In this paper, we survey in the state of the art o f 3D and 4D face recognition. Then, 3D face recognition approaches, categorized into four main groups: point clounds-based approach, sub-space transform-based approach, local geometric features-based approach and model-based approach are reviewed, respectively. And the paper list the advantage, features, recognition algorithm and recognition performance of several typical 3D faces recognition methods. Finally, the paper summarizes the challenges existing in 3D face recognition and the future development trend
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