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» A Multi-View Probabilistic Model for 3D Object Classes
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CVIU
2008
188views more  CVIU 2008»
13 years 7 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
VRML
2003
ACM
14 years 26 days ago
Behavior3D: an XML-based framework for 3D graphics behavior
Success of 3D applications on the Web inherently depends on object behavior and interaction. Current Web3D formats often fall short in supporting behavior modeling. This paper int...
Raimund Dachselt, Enrico Rukzio
CVPR
2008
IEEE
14 years 9 months ago
Viewpoint-independent object class detection using 3D Feature Maps
This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine classifiers for a f...
Joerg Liebelt, Cordelia Schmid, Klaus Schertler
CVPR
2011
IEEE
12 years 11 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
IBPRIA
2007
Springer
14 years 1 months ago
Locating and Segmenting 3D Deformable Objects by Using Clusters of Contour Fragments
Abstract. This paper presents a new approach to the problem of simultaneous location and segmentation of object in images. The main emphasis is done on the information provided by ...
Manuel J. Marín-Jiménez, Nicolas P&e...