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» Point cloud matching based on 3D self-similarity
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ICB
2009
Springer
355views Biometrics» more  ICB 2009»
15 years 6 months ago
3D Signatures for Fast 3D Face Recognition
We propose a vector representation (called a 3D signature) for 3D face shape in biometrics applications. Elements of the vector correspond to fixed surface points in a face-centere...
Chris Boehnen, Tanya Peters, Patrick J. Flynn
COMPLIFE
2006
Springer
15 years 3 months ago
A Point-Matching Based Algorithm for 3D Surface Alignment of Drug-Sized Molecules
Abstract. Molecular shapes play an important role in molecular interactions, e.g., between a protein and a ligand. The `outer' shape of a molecule can be approximated by its s...
Daniel Baum, Hans-Christian Hege
CRV
2008
IEEE
182views Robotics» more  CRV 2008»
15 years 6 months ago
Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data
Bare-earth identification selects points from a LiDAR point cloud so that they can be interpolated to form a representation of the ground surface from which structures, vegetatio...
Wei-Lwun Lu, James J. Little, Alla Sheffer, Hongbo...
ICCV
2011
IEEE
13 years 11 months ago
Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution
We propose a novel method for computing a geometrically consistent and spatially dense matching between two 3D shapes. Rather than mapping points to points we match infinitesimal...
Thomas Windheuser, Ulrich Schlickewei, Frank R. Sc...
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
15 years 1 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof