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» Point cloud matching based on 3D self-similarity
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ISBI
2008
IEEE
16 years 12 days ago
An algorithm to map asymmetries of bilateral objects in point clouds
We present a method to automatically quantify the local asymmetries of bilateral structures in point clouds. The method relies on the robust computation of the approximate symmetr...
Benoît Combès, Robin Hennessy, John W...
3DPVT
2006
IEEE
257views Visualization» more  3DPVT 2006»
15 years 5 months ago
3D from Line Segments in Two Poorly-Textured, Uncalibrated Images
This paper addresses the problem of camera selfcalibration, bundle adjustment and 3D reconstruction from line segments in two images of poorly-textured indoor scenes. First, we ge...
Herbert Bay, Andreas Ess, Alexander Neubeck, Luc J...

Publication
322views
15 years 4 months ago
Three-dimensional point cloud recognition via distributions of geometric distances
Ageometric framework for the recognition of three-dimensional objects represented by point clouds is introducedin this paper. The proposed approach is based on comparing distribut...
Mona Mahmoudi, Guillermo Sapiro
3DIM
2007
IEEE
15 years 6 months ago
Cached k-d tree search for ICP algorithms
The ICP (Iterative Closest Point) algorithm is the de facto standard for geometric alignment of threedimensional models when an initial relative pose estimate is available. The ba...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...
CVPR
2012
IEEE
13 years 2 months ago
Discovering and exploiting 3D symmetries in structure from motion
Many architectural scenes contain symmetric or repeated structures, which can generate erroneous image correspondences during structure from motion (Sfm) computation. Prior work h...
Andrea Cohen, Christopher Zach, Sudipta N. Sinha, ...