Canonical Face Depth Map: A Robust 3D Representation for Face Verification

  title={Canonical Face Depth Map: A Robust 3D Representation for Face Verification},
  author={Dirk Colbry and George C. Stockman},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
The canonical face depth map (CFDM) is a standardized representation for storing and manipulating 3D data from human faces. Our algorithm automates the process of transforming a 3D face scan into its canonical representation, eliminating the need for hand-labeled anchor points. The presented algorithm is designed to be a robust, fully automatic preprocessor for any 3D face recognition algorithm. The experimental results presented here demonstrate that our CFDM is robust to noise and occlusion… CONTINUE READING
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