DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation

@article{Kim2017DASCRD,
  title={DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation},
  author={Seungryong Kim and Dongbo Min and Bumsub Ham and Minh N. Do and Kwanghoon Sohn},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2017},
  volume={39},
  pages={1712-1729}
}
Establishing dense correspondences between multiple images is a fundamental task in many applications. However, finding a reliable correspondence between multi-modal or multi-spectral images still remains unsolved due to their challenging photometric and geometric variations. In this paper, we propose a novel dense descriptor, called dense adaptive self-correlation (DASC), to estimate dense multi-modal and multi-spectral correspondences. Based on an observation that self-similarity existing… CONTINUE READING
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