Adaptive Multi-Affine (AMA) feature-matching algorithm and its application to Minimally-Invasive Surgery images

@article{Souza2011AdaptiveM,
  title={Adaptive Multi-Affine (AMA) feature-matching algorithm and its application to Minimally-Invasive Surgery images},
  author={Gustavo A. Puerto Souza and Mehrad Adibi and Jeffrey A. Cadeddu and Gian Luca Mariottini},
  journal={2011 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2011},
  pages={2371-2376}
}
We present our novel Adaptive Multi-Affine (AMA) feature-matching algorithm that finds correspondences between two views of the same non-planar object. The proposed method only uses monocular images to robustly match clusters of 2-D features according to their relative position on the object surface; finally, AMA adaptively finds the best number of clusters that maximizes the number of matching features. We use AMA to recover a feature tracker from failure (e.g., loss of points due to… CONTINUE READING