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» Probabilistic Modeling and Recognition of 3-D Objects
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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...
ICPR
2004
IEEE
14 years 8 months ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer
CVPR
2010
IEEE
14 years 3 months ago
On improving point-based 3D recognition
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...
Edward Hsiao, Alvaro Collet, Martial Hebert
CVPR
2012
IEEE
11 years 10 months ago
Teaching 3D geometry to deformable part models
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
ICASSP
2011
IEEE
12 years 11 months ago
A novel algorithm for occlusions and perspective effects using a 3D object process
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point p...
Ahmed Gamal-Eldin, Xavier Descombes, Josiane Zerub...