Real-Time 3D model tracking in color and depth on a single CPU core
Kehl W, Tombari F, Ilic S, Navab N (2017)
Publication Type: Conference contribution
Publication year: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2017-January
Pages Range: 465-473
Conference Proceedings Title: Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017
Event location: Honolulu, HI, USA
ISBN: 9781538604571
DOI: 10.1109/CVPR.2017.57
Abstract
We present a novel method to track 3D models in color and depth data. To this end, we introduce approximations that accelerate the state-of-the-art in region-based tracking by an order of magnitude while retaining similar accuracy. Furthermore, we show how the method can be made more robust in the presence of depth data and consequently formulate a new joint contour and ICP tracking energy. We present better results than the state-of-the-art while being much faster then most other methods and achieving all of the above on a single CPU core.
Involved external institutions
United States (USA) (US)
Germany (DE)How to cite
APA:
Kehl, W., Tombari, F., Ilic, S., & Navab, N. (2017). Real-Time 3D model tracking in color and depth on a single CPU core. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 (pp. 465-473). Honolulu, HI, USA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kehl, Wadim, et al. "Real-Time 3D model tracking in color and depth on a single CPU core." Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA Institute of Electrical and Electronics Engineers Inc., 2017. 465-473.
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