Linear solution to scale and rotation invariant object matching

@article{Jiang2009LinearST,
  title={Linear solution to scale and rotation invariant object matching},
  author={Hao Jiang and Stella X. Yu},
  journal={2009 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2009},
  pages={2474-2481}
}
Images of an object undergoing ego- or camera-motion often appear to be scaled, rotated, and deformed versions of each other. To detect and match such distorted patterns to a single sample view of the object requires solving a hard computational problem that has eluded most object matching methods. We propose a linear formulation that simultaneously finds feature point correspondences and global geometrical transformations in a constrained solution space. Further reducing the search space based… CONTINUE READING

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