Learning deformable shape manifolds

@article{Rivera2012LearningDS,
  title={Learning deformable shape manifolds},
  author={Samuel Rivera and Aleix M. Mart{\'i}nez},
  journal={Pattern recognition},
  year={2012},
  volume={45 4},
  pages={
          1792-1801
        }
}
We propose an approach to shape detection of highly deformable shapes in images via manifold learning with regression. Our method does not require shape key points be defined at high contrast image regions, nor do we need an initial estimate of the shape. We only require sufficient representative training data and a rough initial estimate of the object position and scale. We demonstrate the method for face shape learning, and provide a comparison to nonlinear Active Appearance Model. Our method… CONTINUE READING

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