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» Learning 3-D object orientation from images
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ICIP
2005
IEEE
16 years 7 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
16 years 3 days 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 9 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
16 years 6 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
16 years 7 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...