A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
IMPROVING RANSAC FEATURE MATCHING BASED ON GEOMETRIC RELATION
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Feature Matching between images is an essential task for many computer vision and photogrammetry applications, such as Structure from Motion (SFM), Surface Extraction, Visual Simultaneous Localization and Mapping (VSLAM), and vision-based localization and navigation. Among the matched point pairs, there are typically false positive matches. Therefore, outlier detection and rejection are important steps in any vision application. RANSAC has been a well-established approach for outlier
doi:10.5194/isprs-archives-xliii-b2-2021-321-2021
fatcat:lqp5o5wpqzaihlwaysouj6xkku