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Projective Registration with Difference Decomposition

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition — jun 1997
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    Current methods for registering image regions perform well for simple transformations or the large image regions. In this paper, we present a new method that is better able to handle small image regions as they deform with non-linear transformations. We introduce difference decomposition, a novel approach to solving the registration problem. The method is a generalization of previous methods and can better handle non-linear transforms. Although the methods are general, we focus on projective transformations and introduce piecewise-projective transformations for modeling the motions of non-planar objects. We conclude with examples from our prototype implementation.

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    BibTex references

    @InProceedings{Gle97,
      author       = "Gleicher, Michael",
      title        = "Projective Registration with Difference Decomposition",
      booktitle    = "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition",
      month        = "jun",
      year         = "1997",
      url          = "http://graphics.cs.wisc.edu/Papers/1997/Gle97"
    }
    
     

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