Real-Time Tracking of Single and Multiple Objects from Depth-Colour Imagery Using 3D Signed Distance Functions-Reference-Cited by-同舟云学术

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Real-Time Tracking of Single and Multiple Objects from Depth-Colour Imagery Using 3D Signed Distance Functions

Published:2017-01-11 Issue:1 Volume:124 Page:80-95
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Ren C. Y.,Prisacariu V. A.,Kähler O.,Reid I. D.,Murray D. W.

Funder

Seventh Framework Programme

Engineering and Physical Sciences Research Council

Australian Research Council

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/article/10.1007/s11263-016-0978-2/fulltext.html

Reference29 articles.

1. Azad, P., Münch, D., Asfour, T., & Dillmann, R. (2011). 6-dof model-based tracking of arbitrarily shaped 3D objects. In Proceedings 2011 IEEE International Conference on Robotics and Automation, (pp. 5204–5209), doi: 10.1109/ICRA.2011.5979950 .

2. Besl, P. J., & McKay, N. D. (1992). A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2), 239–256. doi: 10.1109/34.121791 .

3. Choi, C., & Christensen, H. (2010). Real-time 3D model-based tracking using edge and keypoint features for robotic manipulation. In Proceedings 2010 IEEE International Conference on Robotics and Automation, (pp. 4048–4055), doi: 10.1109/ROBOT.2010.5509171 .

4. Choi, C., & Christensen, H. I. (2013), RGB-D object tracking: a particle filter approach on GPU. In Proceedings IEEE/RSJ Conference on Intelligent Robots and Systems, (pp. 1084–1091), doi: 10.1109/IROS.2013.6696485 .

5. Drummond, T., & Cipolla, R. (2002). Real-time visual tracking of complex structures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(7), 932–946. doi: 10.1109/TPAMI.2002.1017620 .

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