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» Point cloud matching based on 3D self-similarity
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CVPR
2012
IEEE
11 years 8 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
CVPR
2006
IEEE
14 years 7 months ago
Fully Automatic Registration of 3D Point Clouds
We propose a novel technique for the registration of 3D point clouds which makes very few assumptions: we avoid any manual rough alignment or the use of landmarks, displacement ca...
Ameesh Makadia, Alexander Patterson, Kostas Daniil...
AVSS
2009
IEEE
13 years 3 months ago
3D Face Recognition Using Multiview Keypoint Matching
A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate eac...
Michael Mayo, Edmond Zhang
ICCV
2009
IEEE
13 years 3 months ago
Video scene categorization by 3D hierarchical histogram matching
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classifica...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...
3DPVT
2004
IEEE
188views Visualization» more  3DPVT 2004»
13 years 9 months ago
3D Shape Registration using Regularized Medial Scaffolds
This paper proposes a novel method for global registration based on matching 3D medial structures of unorganized point clouds or triangulated meshes. Most practical known methods ...
Ming-Ching Chang, Frederic F. Leymarie, Benjamin B...