The Geometry and Matching of Lines and Curves Over Multiple Views
International Journal of Computer Vision
Automatic line matching across views
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
Extraction of 3D Line Segment Using Digital Elevation Data
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 2 - Volume 02
3D Line Segment Detection Based on Disparity Data of Area-Based Stereo
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04
Scene reconstruction and visualization from internet photo collections
Scene reconstruction and visualization from internet photo collections
Segmentation of architecture shape information from 3D point cloud
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
LSD: A Fast Line Segment Detector with a False Detection Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper presents a fast and reliable approach for detecting 3D line segment on the unorganized point clouds from multiview 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 multiview 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.