Learning shape prior models for object matching

  title={Learning shape prior models for object matching},
  author={Tingting Jiang and Fr{\'e}d{\'e}ric Jurie and Cordelia Schmid},
  journal={2009 IEEE Conference on Computer Vision and Pattern Recognition},
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can learn a mean shape of the object class as well as the variations of non-affine and affine transformations separately based on the thin plate spline (TPS) parameterization. Unlike previous methods, for learning, we represent shapes by vector fields instead of features which makes our learning approach general. During shape… CONTINUE READING
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