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  • Facial Texture Super-Resolution by Fitting 3D Face Models

    Chengchao Qu

    Band 37 von Karlsruher Schriften zur Anthropomatik
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    This book proposes to solve the low-resolution (LR) facial analysis problem with 3D face super-resolution (FSR). A complete processing chain is presented towards effective 3D FSR in real world. To deal with the extreme challenges of incorporating 3D modeling under the ill-posed LR condition, a novel workflow coupling automatic localization of 2D facial feature points and 3D shape reconstruction is developed, leading to a robust pipeline for pose-invariant hallucination of the 3D facial texture.

    Umfang: ix, 205 S.

    Preis: €44.00 | £40.00 | $77.00

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    Empfohlene Zitierweise
    Qu, C. 2018. Facial Texture Super-Resolution by Fitting 3D Face Models. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085134
    Qu, C., 2018. Facial Texture Super-Resolution by Fitting 3D Face Models. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085134
    Qu, C. Facial Texture Super-resolution by Fitting 3D Face Models. KIT Scientific Publishing, 2018. DOI: https://doi.org/10.5445/KSP/1000085134
    Qu, C. (2018). Facial Texture Super-Resolution by Fitting 3D Face Models. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085134
    Qu, Chengchao. 2018. Facial Texture Super-resolution by Fitting 3D Face Models. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000085134




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    Weitere Informationen

    Veröffentlicht am 2. Oktober 2018

    Sprache

    Englisch

    Seitenanzahl:

    234

    ISBN
    Paperback 978-3-7315-0828-1

    DOI
    https://doi.org/10.5445/KSP/1000085134