NDLI: Body talk: crowdshaping realistic 3D avatars with words

Content Provider	ACM Digital Library
Author	Streuber, Stephan Hill, Matthew Q. Hahn, Carina A. Zuffi, Silvia O'toole, Alice Black, Michael J. Quiros-ramirez, M. Alejandra
Copyright Year	2016
Description	Author Affiliation: Max Planck Institute for Intelligent Systems, Tübingen, Germany(Otoole, Alice; Hahn, Carina A.; University of texas at dallas (hill, Matthew Q.; Itc-cnr, Milan, Italy (Zuffi, Silvia); Black, Michael J.); Quiros-ramirez, M. Alejandra; Streuber, Stephan)
Abstract	Realistic, metrically accurate, 3D human avatars are useful for games, shopping, virtual reality, and health applications. Such avatars are not in wide use because solutions for creating them from high-end scanners, low-cost range cameras, and tailoring measurements all have limitations. Here we propose a simple solution and show that it is surprisingly accurate. We use crowdsourcing to generate attribute ratings of 3D body shapes corresponding to standard linguistic descriptions of 3D shape. We then learn a linear function relating these ratings to 3D human shape parameters. Given an image of a new body, we again turn to the crowd for ratings of the body shape. The collection of linguistic ratings of a photograph provides remarkably strong constraints on the metric 3D shape. We call the process $\textit{crowdshaping}$ and show that our Body Talk system produces shapes that are perceptually indistinguishable from bodies created from high-resolution scans and that the metric accuracy is sufficient for many tasks. This makes body "scanning" practical without a scanner, opening up new applications including database search, visualization, and extracting avatars from books.
Starting Page	1
Ending Page	14
Page Count	14
File Format	PDF
ISSN	07300301
e-ISSN	15577368
DOI	10.1145/2897824.2925981
Volume Number	35
Issue Number	4
Journal	ACM Transactions on Graphics (TOG)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-07-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3D shape Anthropometry Avatars Body shape Crowdsourcing Human body modeling Perception
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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