A multi-step alignment scheme for face recognition in range images

Face recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will b...

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Bibliographische Detailangaben

Hauptverfasser:	Stormer, A., Rigoll, G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Covariance matrix Eigenvalues and eigenfunctions Face detection Face recognition Facial features Hidden Markov models Image databases Iterative algorithms Iterative closest point algorithm Low pass filters Statistic modeling
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