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» Object recognition and Random Image Structure Evolution
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140
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ICCV
2005
IEEE
16 years 4 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie
CVPR
1996
IEEE
15 years 6 months ago
Connectionist networks for feature indexing and object recognition
Feature indexing techniques are promising for object recognition since they can quickly reduce the set of possible matches for a set of image features. This work exploits another ...
Clark F. Olson
113
Voted
ACCV
2010
Springer
14 years 9 months ago
On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
The ability of recognizing object categories in 3D data is still an underdeveloped topic. This paper investigates on adopting Implicit Shape Models (ISMs) for 3D categorization, th...
Samuele Salti, Federico Tombari, Luigi di Stefano
132
Voted
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 4 months ago
Non-negative matrix factorisation for object class discovery and image auto-annotation
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
Jiayu Tang, Paul H. Lewis
ICDAR
2011
IEEE
14 years 1 months ago
A Novel Italic Detection and Rectification Method for Chinese Advertising Images
—The italic detection and slant rectification is a key step of optical character recognition (OCR). In this paper, a novel method is proposed to detect and rectify italic charact...
Jie Liu, Heping Li, Shuwu Zhang, Wei Liang