TY - GEN
T1 - Capturing facial videos with Kinect 2.0
T2 - IEEE Winter Conference on Applications of Computer Vision, WACV 2016
AU - Merget, Daniel
AU - Eckl, Tobias
AU - Schwoerer, Martin
AU - Tiefenbacher, Philipp
AU - Rigoll, Gerhard
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/23
Y1 - 2016/5/23
N2 - Despite the growing research interest in 2.5D and 3D video face processing, 3D facial videos are actually scarcely available. This work introduces a new open source tool, named FaceGrabber, for capturing human faces using Microsoft's Kinect 2.0. FaceGrabber permits the concurrent recording of various formats, including the raw 2D and 2.5D video streams, 3D point clouds and the 3D registered face model provided by the Kinect. The software is also able to convert different data formats and playback recorded results directly in 3D. In order to encourage research with Kinect 2.0 face data, we publish a new public video face database which was captured using FaceGrabber. The database comprises 40 individuals, performing the six universal emotions (disgust, sadness, happiness, fear, anger, surprise) and two additional sequences.
AB - Despite the growing research interest in 2.5D and 3D video face processing, 3D facial videos are actually scarcely available. This work introduces a new open source tool, named FaceGrabber, for capturing human faces using Microsoft's Kinect 2.0. FaceGrabber permits the concurrent recording of various formats, including the raw 2D and 2.5D video streams, 3D point clouds and the 3D registered face model provided by the Kinect. The software is also able to convert different data formats and playback recorded results directly in 3D. In order to encourage research with Kinect 2.0 face data, we publish a new public video face database which was captured using FaceGrabber. The database comprises 40 individuals, performing the six universal emotions (disgust, sadness, happiness, fear, anger, surprise) and two additional sequences.
UR - http://www.scopus.com/inward/record.url?scp=84977612959&partnerID=8YFLogxK
U2 - 10.1109/WACV.2016.7477559
DO - 10.1109/WACV.2016.7477559
M3 - Conference contribution
AN - SCOPUS:84977612959
T3 - 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016
BT - 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 March 2016 through 10 March 2016
ER -