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» New Features to Identify Computer Generated Images
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ICPR
2010
IEEE
14 years 7 months ago
Identifying Gender from Unaligned Facial Images by Set Classification
Abstract--Rough face alignments lead to suboptimal performance of face identification systems. In this study, we present a novel approach for identifying genders from facial images...
Wen-Sheng Chu, Chun-Rong Huang, Chu-Song Chen
ICCV
2007
IEEE
15 years 11 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
WWW
2008
ACM
15 years 10 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
CISST
2003
83views Hardware» more  CISST 2003»
14 years 11 months ago
Computational Efficiency of Structural Image Matching
This paper addresses computational efficiency issues of a new algebraic method for imagery registration/conflation. An algebraic approach to conflation/registration of images does ...
Richard Chase, Boris Kovalerchuk
ICIP
2005
IEEE
15 years 11 months ago
Efficient coding of computer generated compound images
A new compound image compression algorithm is proposed, based on Shape Primitive Extraction and Coding (SPEC). The SPEC first segments a compound image into text/graphics pixels an...
Tony Lin, Pengwei Hao, Sang Uk Lee