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» Home 3D Body Scans from Noisy Image and Range Data
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ECCV
2004
Springer
14 years 6 months ago
Recognizing Objects in Range Data Using Regional Point Descriptors
Recognition of three dimensional (3D) objects in noisy and cluttered scenes is a challenging problem in 3D computer vision. One approach that has been successful in past research i...
Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas B...
AIPR
2006
IEEE
13 years 11 months ago
Recovering Spheres from 3D Point Data
The National Institute of Standards and Technology is involved in developing standard protocols for the performance evaluation of 3D imaging systems, which include laser scanners ...
Christoph Witzgall, Geraldine S. Cheok, Anthony J....
ICPR
2002
IEEE
13 years 10 months ago
3D Reconstruction of Indoor and Outdoor Scenes Using a Mobile Range Scanner
This paper describes 3D mapping of indoor and outdoor environment using a mobile range scanner. In the raw range data preprocessing stage, we propose to use area decreasing flow ...
Yiyong Sun, Joon Ki Paik, Andreas Koschan, Mongi A...
10
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3DIM
2001
IEEE
13 years 8 months ago
Dual-Beam Structured-Light Scanning for 3-D Object Modeling
In this paper, we present our Dual-Beam Structured-Light Scanner (DSLS), a scanning system that generates range maps much richer than those obtained from a conventional structured...
Johnny Park, Guilherme N. DeSouza, Avinash C. Kak
CVPR
2009
IEEE
15 years 2 days ago
LidarBoost: Depth Superresolution for ToF 3D Shape Scanning
Depth maps captured with time-of-flight cameras have very low data quality: the image resolution is rather limited and the level of random noise contained in the depth maps is v...
Sebastian Schuon (Stanford University), Christian ...