TY - GEN
T1 - 3D line segment detection for unorganized point clouds from multi-view stereo
AU - Chen, Tingwang
AU - Wang, Qing
PY - 2011
Y1 - 2011
N2 - This paper presents a fast and reliable approach for detecting 3D line segment on the unorganized point clouds from multi-view stereo. The core idea is to discover weak matching of line segments by re-projecting 3D point to 2D image plane and infer 3D line segment by spatial constraints. On the basis of 2D line segment detector and multi-view stereo, the proposed algorithm firstly re-projects the spatial point clouds into planar set on different camera matrices; then finds the best re-projection line from tentative matched points. Finally, 3D line segment is produced by back-projection after outlier removal. In order to remove the matching errors caused by re-projection, a plane clustering method is implemented. Experimental results show that the approach can obtain satisfactory 3D line detection visually as well as high computational efficiency. The proposed fast line detection can be extended in the application of 3D sketch for large-scale scenes from multiple images.
AB - This paper presents a fast and reliable approach for detecting 3D line segment on the unorganized point clouds from multi-view stereo. The core idea is to discover weak matching of line segments by re-projecting 3D point to 2D image plane and infer 3D line segment by spatial constraints. On the basis of 2D line segment detector and multi-view stereo, the proposed algorithm firstly re-projects the spatial point clouds into planar set on different camera matrices; then finds the best re-projection line from tentative matched points. Finally, 3D line segment is produced by back-projection after outlier removal. In order to remove the matching errors caused by re-projection, a plane clustering method is implemented. Experimental results show that the approach can obtain satisfactory 3D line detection visually as well as high computational efficiency. The proposed fast line detection can be extended in the application of 3D sketch for large-scale scenes from multiple images.
UR - http://www.scopus.com/inward/record.url?scp=79952492784&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-19309-5_31
DO - 10.1007/978-3-642-19309-5_31
M3 - 会议稿件
AN - SCOPUS:79952492784
SN - 9783642193088
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 400
EP - 411
BT - Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers
T2 - 10th Asian Conference on Computer Vision, ACCV 2010
Y2 - 8 November 2010 through 12 November 2010
ER -