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» Learning 3-D object orientation from images
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ICIP
2005
IEEE
15 years 11 months ago
Implicit surface segmentation by minimal paths, applications in 3D medical images
In this paper we introduce a novel edge-based, implicit approach for single object segmentation in 3D images. From a couple of curves, traced by the user on the object to be segme...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
ICPR
2008
IEEE
15 years 4 months ago
3D object localization based on occluding contour using STL CAD model
This paper describes a method to localize 3D objects, which is the extension of the segment-based object recognition method to use on a STL CAD model. Models for localization are ...
Kenichi Maruyama, Yoshihiro Kawai, Takashi Yoshimi...
3DIM
2003
IEEE
15 years 1 months ago
A Range Image Refinement Technique for Multi-view 3D Model Reconstruction
This paper presents a range image refinement technique for generating accurate 3D computer models of real objects. Range images obtained from a stereo-vision system typically expe...
Soon-Yong Park, Murali Subbarao
ICPR
2006
IEEE
15 years 10 months ago
Trains of keypoints for 3D object recognition
This paper presents a 3D object recognition method that exploits the spatio-temporal coherence of image sequences to capture the object most relevant features. We start from an im...
Elise Arnaud, Francesca Odone, Alessandro Verri
ICIP
2006
IEEE
15 years 11 months ago
Supershape Recovery from 3D Data Sets
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are u...
Andrei V. Gribok, Frédéric Truchetet...