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Automatic cephalometric landmarks detection on frontal faces: An approach based on supervised learning techniques
Affiliation:1. Department of Computer Science and Artificial Intelligence, University of Granada, C/ Daniel Saucedo Aranda, s/n, 18071 Granada, Granada, Spain;2. School of Art and Design, Liverpool John Moores University, Liverpool L3 5TF, UK
Abstract:
Keywords:Supervised learning  Cephalometric landmarks  Forensics  Photo-anthropometry  Computer vision
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