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- W2108333583 abstract "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 be introduced to create aligned and normalized patches. These patches will then be used in a recognition algorithm, a discrete Pseudo 2-Dimensional Hidden Markov Model approach based on vector quantized DCTmod2 features. The results of this processing chain are discussed and compared to previous works." @default.
- W2108333583 created "2016-06-24" @default.
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- W2108333583 date "2008-01-01" @default.
- W2108333583 modified "2023-09-27" @default.
- W2108333583 title "A multi-step alignment scheme for face recognition in range images" @default.
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- W2108333583 doi "https://doi.org/10.1109/icip.2008.4712363" @default.
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