DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence

@article{Kim2015DASCDA,
  title={DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence},
  author={Seungryong Kim and Dongbo Min and Bumsub Ham and Seungchul Ryu and Minh N. Do and Kwanghoon Sohn},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={2103-2112}
}
Establishing dense visual correspondence between multiple images is a fundamental task in many applications of computer vision and computational photography. Classical approaches, which aim to estimate dense stereo and optical flow fields for images adjacent in viewpoint or in time, have been dramatically advanced in recent studies. However, finding reliable visual correspondence in multi-modal or multi-spectral images still remains unsolved. In this paper, we propose a novel dense matching… CONTINUE READING
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