Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105130
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Title: Review on 3D scanners for head and face modeling
Authors: Shah, PB 
Luximon, Y 
Issue Date: 2017
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2017, v. 10286, p. 47-56
Abstract: There is a need of accurate anthropometric data of human head and face for both research and product designing. In past conventional measurements techniques were used to acquire anthropometric measurements for designing of products using scales, calipers, tapes which were less accurate and reliable, but with the advent of 3D scanner it has become very convenient for the researchers to acquire accurate 3D anthropometric head and face measurement. In the last three decades there has been a constant effort in optimizing the 3D scanners for improving its accurate and making it more user-friendly. This study discusses three different types of 3D scanners used for scanning head and face and tries to analyze their performance. The scanners included in the study are: Cyberware 3030 color scanner, Artec Eva 3D scanner and Structure sensor ST01 mode. The study provides an overview of possible advantages and limitations of all the three scanners.
Keywords: 3D modelling
3D scanners
Ergonomics
Human head and face
Product design
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISBN: 978-3-319-58462-1 (Softcover)
978-3-319-58463-8 (eBook)
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-58463-8_5
Description: 8th International Conference on Digital Human Modeling DHM 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017
Rights: © Springer International Publishing AG 2017
This version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-58463-8_5.
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