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» New Features to Identify Computer Generated Images
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ICPR
2006
IEEE
16 years 5 months ago
Kalman Filtering for Robust Identification of Face Images with Varying Expressions and Lighting Conditions
We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant face features. We employ the Kalmanfa...
Horst Eidenberger
ECCV
2002
Springer
16 years 6 months ago
Phase-Based Local Features
Abstract. We introduce a new type of local feature basedon the phaseand amplitude responsesof complex-valuedsteerable filters. The designof this local feature is motivated by a des...
Gustavo Carneiro, Allan D. Jepson
IH
2001
Springer
15 years 8 months ago
Computational Forensic Techniques for Intellectual Property Protection
Computational forensic engineering (CFE) aims to identify the entity that created a particular intellectual property (IP). Rather than relying on watermarking content or designs, t...
Jennifer L. Wong, Darko Kirovski, Miodrag Potkonja...
ACCV
2006
Springer
15 years 8 months ago
Multiple Similarities Based Kernel Subspace Learning for Image Classification
Abstract. In this paper, we propose a new method for image classification, in which matrix based kernel features are designed to capture the multiple similarities between images in...
Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma
ICIP
2003
IEEE
16 years 5 months ago
Analysis and classification of internal pipeline images
Recently developed optical inspection tools provide images from the inside of natural gas pipelines to monitor pipeline integrity. The vast amounts of data generated prohibits hum...
Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray,...