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Setyawan et al., 2011 - Google Patents

Frontal Face Detection using Haar Wavelet Coefficients and Local Histogram Correlation

Setyawan et al., 2011

View PDF
Document ID
16770169888030032811
Author
Setyawan I
Timotius I
Febrianto A
Publication year
Publication venue
Journal of ICT Research and Application

External Links

Snippet

Face detection is the main building block on which all automatic systems dealing with human faces is built. For example, a face recognition system must rely on face detection to process an input image and determine which areas contain human faces. These areas then …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00288Classification, e.g. identification
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • GPHYSICS
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30784Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content

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