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» Model Selection for Range Segmentation of Curved Objects
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ICPR
2006
IEEE
14 years 8 months ago
Box-like Superquadric Recovery in Range Images by Fusing Region and Boundary Information
This work contributes to the robotic bin-picking problem, and more specifically to the problem of localizing piled box-like objects. We employ range imagery, and use box-like Supe...
Dimitrios I. Kosmopoulos, Dimitrios Katsoulas
AROBOTS
2002
138views more  AROBOTS 2002»
13 years 7 months ago
Visual Navigation in Natural Environments: From Range and Color Data to a Landmark-Based Model
This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video color camera and a stereo-vision system. We focus on the interest of such ...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy
ICANN
2009
Springer
14 years 2 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
ICCV
2011
IEEE
12 years 7 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
ICPR
2006
IEEE
14 years 8 months ago
Generic Detection of Multi-Part Objects
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
Jean-Francois Bernier, Robert Bergevin