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» Analysis on a Local Approach to 3D Object Recognition
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ECCV
2008
Springer
14 years 9 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 2 months ago
A two-steps next-best-view algorithm for autonomous 3D object modeling by a humanoid robot
— A novel approach is presented which aims at building autonomously visual models of unknown objects, using a humanoid robot. Although good methods have been proposed for the spe...
Torea Foissotte, Olivier Stasse, Adrien Escande, P...
CVPR
2001
IEEE
14 years 9 months ago
A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
Salih Burak Göktürk, Carlo Tomasi
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
13 years 6 months ago
Dynamic 3D scene analysis for acquiring articulated scene models
— In this paper we present a new system for a mobile robot to generate an articulated scene model by analyzing complex dynamic 3D scenes. The system extracts essential knowledge ...
Agnes Swadzba, Niklas Beuter, Sven Wachsmuth, Fran...
MICCAI
2006
Springer
14 years 8 months ago
Fast Non Local Means Denoising for 3D MR Images
One critical issue in the context of image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to inc...
Pierrick Coupé, Pierre Yger, Christian Bari...