Dense matches are summarized into sparse representative matches with 9x9 constraint matrices, giving comparable pose accuracy at 10-100x lower RANSAC runtime.
Conic epipolar con- straints from affine correspondences.Computer Vision and Image Understanding (CVIU), 2014
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
extension 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
extension 1polarities
extend 1representative citing papers
citing papers explorer
-
Dense Match Summarization for Faster Two-view Estimation
Dense matches are summarized into sparse representative matches with 9x9 constraint matrices, giving comparable pose accuracy at 10-100x lower RANSAC runtime.