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» Using Biologically Inspired Features for Face Processing
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ICIP
2005
IEEE
14 years 2 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
CIARP
2006
Springer
14 years 17 days ago
Gender Classification of Faces Using Adaboost
In this work it is described a framework for classifying face images using Adaboost and domain-partitioning based classifiers. The most interesting aspect of this framework is the ...
Rodrigo Verschae, Javier Ruiz-del-Solar, Mauricio ...
ICIAR
2005
Springer
14 years 2 months ago
Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences
Abstract. Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature ...
Turgay Çelik, Cem Direkoglu, Hüseyin &...
BMCBI
2006
141views more  BMCBI 2006»
13 years 9 months ago
The use of concept maps during knowledge elicitation in ontology development processes - the nutrigenomics use case
Background: Incorporation of ontologies into annotations has enabled 'semantic integration' of complex data, making explicit the knowledge within a certain field. One of...
Alexander García Castro, Philippe Rocca-Ser...
ICIP
2009
IEEE
14 years 10 months ago
Facial Marks: Soft Biometric For Face Recognition
We propose to utilize micro features, namely facial marks (e.g., freckles, moles, and scars) to improve face recognition and retrieval performance. Facial marks can be used in thr...