Optics and Precision Engineering, Volume. 25, Issue 12, 3152(2017)
Design of tracker for mobile smart devices
[1] [1] CHEN H N. Monocular Camera based Perception in Augmented Reality Scene[D]. Guangzhou: Guangdong University of Technology, 2016. (in Chinese)
[2] [2] NIE H T. Study of Rehabilitative Robtics Object Recognition Method Based on Local Image Feature[D]. Changchun: Institute of Optics, Fine Mechanic and Physics,Chinese Academy of Sciences, 2015. (in Chinese)
[5] [5] WAGNER D, REITMAYR G, MULLONI A, et al.. Real-time detection and tracking for augmented reality on mobile phones[J]. IEEE Transactions on Visualization and Computer Graphics, 2010, 16(3): 355-368.
[6] [6] MAIR E, HAGER G D, BURSCHKA D, et al.. Adaptive and generic corner detection based on the accelerated segment test[C]. Proceedings of the European Conference on Computer Vision (ECCV'10), Springer, 2010.
[7] [7] LOWE D G. Object recognition from local scale-invariant features[C]. The proceedings of the 17th IEEE International Conference on Computer Vision, IEEE, 1999, 1150-1157.
[8] [8] HE L Y, LIU J H, LI G, et al.. Fast image registration approach based on improved BRISK[J]. Infrared and Laser Engineering, 2014, 43(8): 2722-2727. (in Chinese)
[10] [10] WHITEN C, LAGANI RE R, BILODEAU G A. Efficient action recognition with MoFREAK[C]//2013 International Conference on Computer and Robot Vision (CRV), IEEE, 2013.
[11] [11] MINNEHAN B, SPANG H, SAVAKIS A E. Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints[M]//Bebis G. Advances in Visual Computing. ISVC 2014. Cham: Springer, 2014.
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XIONG Jing-ying, DAI Ming. Design of tracker for mobile smart devices[J]. Optics and Precision Engineering, 2017, 25(12): 3152
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Received: Feb. 23, 2017
Accepted: --
Published Online: Jan. 10, 2018
The Author Email: Jing-ying XIONG (xiong_ing@163.com)