Dense matches are summarized into sparse representative matches with 9x9 constraint matrices, giving comparable pose accuracy at 10-100x lower RANSAC runtime.
Slic superpix- els compared to state-of-the-art superpixel methods.IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11):2274–2282, 2012
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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.