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» Building text features for object image classification
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CVPR
2009
IEEE
15 years 5 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
ICIP
2005
IEEE
14 years 11 months ago
Combining interest points and edges for content-based image retrieval
Abstract-- This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterize...
Junqiu Wang, Hongbin Zha, Roberto Cipolla
ECCV
2008
Springer
13 years 12 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
MICCAI
2003
Springer
14 years 11 months ago
An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs
A robust and automatic system has been developed to detect the visual axis and extract important feature landmarks from slit-lamp photographs, and objectively grade the severity of...
Shaohua Fan, Charles R. Dyer, Larry Hubbard, Barba...
CVPR
2003
IEEE
15 years 5 days ago
Shape-based Recognition Of Wiry Objects
We present an approach to the recognition of complexshaped objects in cluttered environments based on edge cues. We first use example images of the desired object in typical backg...
Owen T. Carmichael, Martial Hebert