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Dibeklioglu et al., 2008 - Google Patents

3D facial landmarking under expression, pose, and occlusion variations

Dibeklioglu et al., 2008

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Document ID
2200280046231710200
Author
Dibeklioglu H
Salah A
Akarun L
Publication year
Publication venue
2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems

External Links

Snippet

Automatic localization of 3D facial features is important for face recognition, tracking, modeling and expression analysis. Methods developed for 2D images were shown to have problems working across databases acquired with different illumination conditions …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G06K9/6203Shifting or otherwise transforming the patterns to accommodate for positional errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • GPHYSICS
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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
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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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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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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