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Weber et al., 1999 - Google Patents

Face location by template matching with a quadratic discriminant function

Weber et al., 1999

Document ID
8391811856434826638
Author
Weber F
Hernandez A
Publication year
Publication venue
Proceedings International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99 (Cat. No. PR00378)

External Links

Snippet

We present the application of a new approach for object location to the problem of locating frontal and near-frontal views of faces in still grey-scale images. The approach uses a linear and a quadratic discriminant function in a hierarchical fashion to classify subimages of a …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/00288Classification, e.g. identification
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • GPHYSICS
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    • G06K9/00248Detection; Localisation; Normalisation using facial parts and geometric relationships
    • GPHYSICS
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    • G06K9/00275Holistic features and representations, i.e. based on the facial image taken as a whole
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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    • G06K9/00362Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G06K9/00369Recognition of whole body, e.g. static pedestrian or occupant recognition
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    • G06K9/00597Acquiring or recognising eyes, e.g. iris verification
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