Automatic acquisition and animation of virtual avatars

Ari Shapiro; Andrew Feng; Ruizhe Wang; Gerard Medioni; Mark Bolas; Evan A. Suma

doi:10.1109/VR.2014.6802113

Automatic acquisition and animation of virtual avatars

Ari Shapiro, Andrew Feng, Ruizhe Wang, Gerard Medioni, Mark Bolas, Evan A. Suma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

The USC Institute for Creative Technologies will demonstrate a pipline for automatic reconstruction and animation of lifelike 3D avatars acquired by rotating the user's body in front of a single Microsoft Kinect sensor. Based on a fusion of state-of-the-art techniques in computer vision, graphics, and animation, this approach can produce a fully rigged character model suitable for real-time virtual environments in less than four minutes.

Original language	English (US)
Title of host publication	2014 IEEE Virtual Reality, VR 2014 - Proceedings
Publisher	IEEE Computer Society
Pages	185-186
Number of pages	2
ISBN (Print)	9781479928712
DOIs	https://doi.org/10.1109/VR.2014.6802113
State	Published - 2014
Externally published	Yes
Event	21st IEEE Virtual Reality Conference, VR 2014 - Minneapolis, MN, United States Duration: Mar 29 2014 → Apr 2 2014

Publication series

Name	Proceedings - IEEE Virtual Reality

Other

Other	21st IEEE Virtual Reality Conference, VR 2014
Country/Territory	United States
City	Minneapolis, MN
Period	3/29/14 → 4/2/14

Keywords

Avatars
animation
depth sensors
reconstruction

Publisher link

10.1109/VR.2014.6802113

Find It

Find It at U of M Libraries

Cite this

Shapiro, A, Feng, A, Wang, R, Medioni, G, Bolas, M & Suma, EA 2014, Automatic acquisition and animation of virtual avatars. in 2014 IEEE Virtual Reality, VR 2014 - Proceedings., 6802113, Proceedings - IEEE Virtual Reality, IEEE Computer Society, pp. 185-186, 21st IEEE Virtual Reality Conference, VR 2014, Minneapolis, MN, United States, 3/29/14. https://doi.org/10.1109/VR.2014.6802113

@inproceedings{d168cc2e542f4d56a2ba1de034d44a41,

title = "Automatic acquisition and animation of virtual avatars",

abstract = "The USC Institute for Creative Technologies will demonstrate a pipline for automatic reconstruction and animation of lifelike 3D avatars acquired by rotating the user's body in front of a single Microsoft Kinect sensor. Based on a fusion of state-of-the-art techniques in computer vision, graphics, and animation, this approach can produce a fully rigged character model suitable for real-time virtual environments in less than four minutes.",

keywords = "Avatars, animation, depth sensors, reconstruction",

author = "Ari Shapiro and Andrew Feng and Ruizhe Wang and Gerard Medioni and Mark Bolas and Suma, {Evan A.}",

year = "2014",

doi = "10.1109/VR.2014.6802113",

language = "English (US)",

isbn = "9781479928712",

series = "Proceedings - IEEE Virtual Reality",

publisher = "IEEE Computer Society",

pages = "185--186",

booktitle = "2014 IEEE Virtual Reality, VR 2014 - Proceedings",

note = "21st IEEE Virtual Reality Conference, VR 2014 ; Conference date: 29-03-2014 Through 02-04-2014",

}

TY - GEN

T1 - Automatic acquisition and animation of virtual avatars

AU - Shapiro, Ari

AU - Feng, Andrew

AU - Wang, Ruizhe

AU - Medioni, Gerard

AU - Bolas, Mark

AU - Suma, Evan A.

PY - 2014

Y1 - 2014

N2 - The USC Institute for Creative Technologies will demonstrate a pipline for automatic reconstruction and animation of lifelike 3D avatars acquired by rotating the user's body in front of a single Microsoft Kinect sensor. Based on a fusion of state-of-the-art techniques in computer vision, graphics, and animation, this approach can produce a fully rigged character model suitable for real-time virtual environments in less than four minutes.

AB - The USC Institute for Creative Technologies will demonstrate a pipline for automatic reconstruction and animation of lifelike 3D avatars acquired by rotating the user's body in front of a single Microsoft Kinect sensor. Based on a fusion of state-of-the-art techniques in computer vision, graphics, and animation, this approach can produce a fully rigged character model suitable for real-time virtual environments in less than four minutes.

KW - Avatars

KW - animation

KW - depth sensors

KW - reconstruction

UR - http://www.scopus.com/inward/record.url?scp=84900559321&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84900559321&partnerID=8YFLogxK

U2 - 10.1109/VR.2014.6802113

DO - 10.1109/VR.2014.6802113

M3 - Conference contribution

AN - SCOPUS:84900559321

SN - 9781479928712

T3 - Proceedings - IEEE Virtual Reality

SP - 185

EP - 186

BT - 2014 IEEE Virtual Reality, VR 2014 - Proceedings

PB - IEEE Computer Society

T2 - 21st IEEE Virtual Reality Conference, VR 2014

Y2 - 29 March 2014 through 2 April 2014

ER -

Automatic acquisition and animation of virtual avatars

Abstract

Publication series

Other

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this