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» New Features to Identify Computer Generated Images
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ICPR
2010
IEEE
14 years 10 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
16 years 3 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
16 years 2 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»
15 years 2 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
16 years 3 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