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» Local Feature View Clustering for 3D Object Recognition
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ECCV
2000
Springer
14 years 9 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
MVA
2002
125views Computer Vision» more  MVA 2002»
13 years 7 months ago
Recognition of 3-D Free-form Objects Using Distance-supported Shape Index
In this paper, we present an approach to incorporating partial geometric information into a local feature-based The distance-supported shape index is proposed for the representatio...
Dong-O Kim, Sang Wook Lee, Rae-Hong Park
ICCV
2007
IEEE
14 years 9 months ago
3D generic object categorization, localization and pose estimation
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
Silvio Savarese, Fei-Fei Li 0002
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
WACV
2005
IEEE
14 years 1 months ago
3D Recognition and Segmentation of Objects in Cluttered Scenes
In this paper we present a novel view point independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model wit...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens