Dibeklioglu et al., 2008 - Google Patents
3D facial landmarking under expression, pose, and occlusion variationsDibeklioglu et al., 2008
View PDF- 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 …
- 230000001815 facial 0 title abstract description 35
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/62—Methods or arrangements for recognition using electronic means
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