Robust Feature Matching with Spatial Smoothness Constraints

• Published in: Remote sensing (Basel, Switzerland) Vol. 12; no. 19; p. 3158
• Main Authors: Huang, Xu, Wan, Xue, Peng, Daifeng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2020
• Subjects: Accuracy; Algorithms; Cameras; Computer applications; data collection; Delaunay triangulation; Energy; feature matching; global energy function; Global optimization; Limiting factors; Matching; Methods; Optimization; Photogrammetry; remote sensing; Robustness; SIFT; Smoothness; spatial smoothness constraint; SURF

Feature matching is to detect and match corresponding feature points in stereo pairs, which is one of the key techniques in accurate camera orientations. However, several factors limit the feature matching accuracy, e.g., image textures, viewing angles of stereo cameras, and resolutions of stereo pa...