TY - GEN
T1 - Probabilistic depth map fusion of Kinect and stereo in real-time
AU - Duan, Yong
AU - Pei, Mingtao
AU - Wang, Yucheng
PY - 2012
Y1 - 2012
N2 - This paper proposes a probabilistic framework for real-time depth map fusion of Kinect and stereo. By modeling the depth imaging process as a random experiment, we turn the depth map fusion into a problem of probability density function (pdf) estimation, and the problem can be further decoupled into four parts: fusion space, influence term, visibility term and confidence term. Strategies for each part of the framework are presented to perform real-time fusion of Kinect and stereo. Experimental results demonstrate the effectiveness of the method.
AB - This paper proposes a probabilistic framework for real-time depth map fusion of Kinect and stereo. By modeling the depth imaging process as a random experiment, we turn the depth map fusion into a problem of probability density function (pdf) estimation, and the problem can be further decoupled into four parts: fusion space, influence term, visibility term and confidence term. Strategies for each part of the framework are presented to perform real-time fusion of Kinect and stereo. Experimental results demonstrate the effectiveness of the method.
UR - http://www.scopus.com/inward/record.url?scp=84876475617&partnerID=8YFLogxK
U2 - 10.1109/ROBIO.2012.6491315
DO - 10.1109/ROBIO.2012.6491315
M3 - Conference contribution
AN - SCOPUS:84876475617
SN - 9781467321273
T3 - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
SP - 2317
EP - 2322
BT - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
T2 - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012
Y2 - 11 December 2012 through 14 December 2012
ER -