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» Fully Automatic Registration of 3D Point Clouds
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RAS
2008
139views more  RAS 2008»
14 years 8 months ago
Towards 3D Point cloud based object maps for household environments
This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The objects modeled in these maps include cupboards, ta...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
84
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WACV
2005
IEEE
15 years 3 months ago
Automatic Augmentation and Meshing of Sparse 3D Scene Structure
We propose a novel method of robustly and automatically creating surface meshes from the very sparsely populated 3D point clouds typically produced by Structure from Motion algori...
Oli Cooper, Neill W. Campbell, David P. Gibson
ICCV
2005
IEEE
15 years 3 months ago
High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps
We present a novel fully automatic method for high resolution, non-rigid dense 3D point tracking. High quality dense point clouds of non-rigid geometry moving at video speeds are ...
Yang Wang, Mohit Gupta, Song Zhang 0002, Sen Wang,...
ECCV
2010
Springer
14 years 10 months ago
Adaptive Metric Registration of 3D Models to Non-rigid Image Trajectories
Abstract. This paper addresses the problem of registering a 3D model, represented as a cloud of points lying over a surface, to a set of 2D deforming image trajectories in the imag...
Alessio Del Bue
MICCAI
2005
Springer
15 years 10 months ago
Automatic Segmentation of the Left Ventricle in 3D SPECT Data by Registration with a Dynamic Anatomic Model
We present a fully automatic 3D segmentation method for the left ventricle (LV) in human myocardial perfusion SPECT data.
Lars Dornheim, Klaus D. Tönnies, Kat Dixon