Abstract
3D model based approach for face recognition has been spotlighted as a robust solution under variant conditions of pose and illumination. Since a generative 3D face model consists of a large number of vertices, a 3D model based face recognition system is generally inefficient in computation time. In this paper, we propose a novel 3D face representation algorithm to reduce the number of vertices and optimize its computation time. Finally, we evaluate the performance of proposed algorithm with the Korean face database collected using a stereo-camera based 3D face capturing device.
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Keywords
- Face Recognition
- Singular Value Decomposition
- Iterative Close Point
- Texture Coefficient
- Structure From Motion
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Hong, T., Kim, H., Moon, H., Kim, Y., Lee, J., Moon, S. (2006). Face Representation Method Using Pixel-to-Vertex Map (PVM) for 3D Model Based Face Recognition. In: Huang, T.S., et al. Computer Vision in Human-Computer Interaction. ECCV 2006. Lecture Notes in Computer Science, vol 3979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11754336_3
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DOI: https://doi.org/10.1007/11754336_3
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