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» Fully Automatic Registration of 3D Point Clouds
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VC
2008
135views more  VC 2008»
14 years 9 months ago
A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds
Abstract We propose a new featurebased registration method for rigidbody alignment of overlapping point clouds (PCs) efficiently under the influence of noise and outliers. The prop...
Cagatay Basdogan, A. Cengiz Oztireli
ICIP
2005
IEEE
15 years 3 months ago
Automatic registration of 3D datasets using Gaussian fields
—In this paper we introduce a new 3D automatic registration method based on Gaussian fields and energy minimization. The method defines a simple ∞ C energy function, which is c...
Faysal Boughorbel, Andreas Koschan, Mongi A. Abidi
CVPR
2008
IEEE
15 years 11 months ago
Automatic registration of aerial imagery with untextured 3D LiDAR models
A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm fo...
Min Ding, Kristian Lyngbaek, Avideh Zakhor
CVPR
2009
IEEE
16 years 4 months ago
From Structure-from-Motion Point Clouds to Fast Location Recognition
Efficient view registration with respect to a given 3D reconstruction has many applications like inside-out tracking in indoor and outdoor environments, and geo-locating images ...
Arnold Irschara (Graz University of Technology), C...
CVPR
2007
IEEE
15 years 11 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...