Facial shape estimation methods for computing physiological signals with non-invasive techniques

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1. Verfasser: Mallol-Ragolta, Adria ca. 20./21. Jh (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Augsburg Universität Augsburg 2017
Barcelona Universitat Pompeu Fabra 2017
Online-Zugang:https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-657900
https://d-nb.info/1200856066/34
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spelling Mallol-Ragolta, Adria ca. 20./21. Jh. Verfasser (DE-588)1199452882 aut
Facial shape estimation methods for computing physiological signals with non-invasive techniques Adria Mallol-Ragolta
Augsburg Universität Augsburg 2017
Barcelona Universitat Pompeu Fabra 2017
Online-Ressource
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spellingShingle Mallol-Ragolta, Adria ca. 20./21. Jh
Facial shape estimation methods for computing physiological signals with non-invasive techniques
title Facial shape estimation methods for computing physiological signals with non-invasive techniques
title_auth Facial shape estimation methods for computing physiological signals with non-invasive techniques
title_exact_search Facial shape estimation methods for computing physiological signals with non-invasive techniques
title_exact_search_txtP Facial shape estimation methods for computing physiological signals with non-invasive techniques
title_full Facial shape estimation methods for computing physiological signals with non-invasive techniques Adria Mallol-Ragolta
title_fullStr Facial shape estimation methods for computing physiological signals with non-invasive techniques Adria Mallol-Ragolta
title_full_unstemmed Facial shape estimation methods for computing physiological signals with non-invasive techniques Adria Mallol-Ragolta
title_short Facial shape estimation methods for computing physiological signals with non-invasive techniques
title_sort facial shape estimation methods for computing physiological signals with non invasive techniques
url https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-657900
https://d-nb.info/1200856066/34
http://hdl.handle.net/10230/30827
https://opus.bibliothek.uni-augsburg.de/opus4/65790
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