DocumentCode :
3672126
Title :
Depth camera tracking with contour cues
Author :
Qian-Yi Zhou;Vladlen Koltun
Author_Institution :
Intel Labs, USA
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
632
Lastpage :
638
Abstract :
We present an approach for tracking camera pose in real time given a stream of depth images. Existing algorithms are prone to drift in the presence of smooth surfaces that destabilize geometric alignment. We show that useful contour cues can be extracted from noisy and incomplete depth input. These cues are used to establish correspondence constraints that carry information about scene geometry and constrain pose estimation. Despite ambiguities in the input, the presented contour constraints reliably improve tracking accuracy. Results on benchmark sequences and on additional challenging examples demonstrate the utility of contour cues for real-time camera pose estimation.
Keywords :
"Cameras","Real-time systems","Color","Benchmark testing","Accuracy","Image reconstruction","Generators"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2015.7298662
Filename :
7298662
Link To Document :
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