Abstract
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.
Original language | English |
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Title of host publication | 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest |
Pages | 2317-2322 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2012 |
Event | 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Guangzhou, China Duration: 11 Dec 2012 → 14 Dec 2012 |
Publication series
Name | 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest |
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Conference
Conference | 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 |
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Country/Territory | China |
City | Guangzhou |
Period | 11/12/12 → 14/12/12 |
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Duan, Y., Pei, M., & Wang, Y. (2012). Probabilistic depth map fusion of Kinect and stereo in real-time. In 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest (pp. 2317-2322). Article 6491315 (2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest). https://doi.org/10.1109/ROBIO.2012.6491315