A Fast 3D Correspondence Method for Statistical Shape Modeling

  title={A Fast 3D Correspondence Method for Statistical Shape Modeling},
  author={Pahal Dalal and Brent C. Munsell and Song Wang and Jijun Tang and Kenton Oliver and Hiroaki Ninomiya and Xiangrong Zhou and Hiroshi Fujita},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In this paper, we address this landmark-based shape-correspondence problem for 3D cases by developing a highly efficient landmark-sliding algorithm. This algorithm is able to quickly refine all the landmarks in a parallel fashion by sliding them on the 3D shape surfaces. We use 3D thin-plate splines to model the shape-correspondence error so that… CONTINUE READING
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