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» Geometric Integrability and Consistency of 3D Point Clouds
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EMMCVPR
2003
Springer
14 years 24 days ago
Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach
This paper presents a novel method for surface recovery from discrete 3D point data sets. In order to produce improved reconstruction results, the algorithm presented in this paper...
Peter Savadjiev, Frank P. Ferrie, Kaleem Siddiqi
FGR
2004
IEEE
212views Biometrics» more  FGR 2004»
13 years 11 months ago
Automatic 3D Face Recognition Combining Global Geometric Features with Local Shape Variation Information
Face recognition is a focused issue in pattern recognition over the past decades. In this paper, we have proposed a new scheme for face recognition using 3D information. In this s...
Chenghua Xu, Yunhong Wang, Tieniu Tan, Long Quan
ACSC
2010
IEEE
13 years 2 months ago
Measuring visual consistency in 3d rendering systems
One of the major challenges facing a present day game development company is the removal of bugs from such complex virtual environments. This work presents an approach for measuri...
Alfredo Nantes, Ross Brown, Frédéric...
CVPR
2010
IEEE
13 years 12 months ago
Model Globally, Match Locally: Efficient and Robust 3D Object Recognition
This paper addresses the problem of recognizing freeform 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which depend on local informati...
Bertram Drost, Markus Ulrich, Nassir Navab, Slobod...
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
14 years 2 months ago
On fast surface reconstruction methods for large and noisy point clouds
— In this paper we present a method for fast surface reconstruction from large noisy datasets. Given an unorganized 3D point cloud, our algorithm recreates the underlying surface...
Zoltan Csaba Marton, Radu Bogdan Rusu, Michael Bee...