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CAISOV: Collinear Affine Invariance and Scale-Orientation Voting for Reliable Feature Matching
2022
Remote Sensing
Reliable feature matching plays an important role in the fields of computer vision and photogrammetry. Due to the complex transformation model caused by photometric and geometric deformations, and the limited discriminative power of local feature descriptors, initial matches with high outlier ratios cannot be addressed very well. This study proposes a reliable outlier-removal algorithm by combining two affine-invariant geometric constraints. First, a very simple geometric constraint, namely,
doi:10.3390/rs14133175
fatcat:jajjf2ihrrei3feyztpz6pabmy