Neural-Guided RANSAC - Computer Vision and Learning Lab Heidelberg
uni-heidelberg.de
Neural-Guided RANSAC - Computer Vision and Learning Lab Heidelberg
Abstract: We present Neural-Guided RANSAC (NG-RANSAC), an extension to the classic RANSAC algorithm from robust optimization. NG-RANSAC uses prior information to improve model hypothesis search, increasing the chance of finding outlier-free minimal sets. Previous works use heuristic side-information like hand-crafted descriptor distance to ...
May 4, 2020
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