A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence

@article{Simon2007APM,
  title={A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence},
  author={Ian Simon and Steven M. Seitz},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-7}
}
We describe a method for fully automatic object recognition and segmentation using a set of reference images to specify the appearance of each object. Our method uses a generative model of image formation that takes into account occlusions, simple lighting changes, and object deformations. We take advantage of local features to identify, locate, and extract multiple objects in the presence of large viewpoint changes, nonrigid motions with large numbers of degrees of freedom, occlusions, and… CONTINUE READING

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