Infrared and Laser Engineering, Volume. 49, Issue 6, 20200085(2020)

Segmentation in multi-objects scene based on disparity and fringe modulation analysis

Xiaohan Li, Lu Chen, and Xiang Zhou
Author Affiliations
  • 西安交通大学 机械工程学院,陕西 西安 710049
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    References(12)

    [3] [3] Silberman N, Fergus R. Indo scene segmentation using a structured light sens[C]2011 IEEE international conference on computer vision wkshops (ICCV wkshops). IEEE, 2011: 601608.

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    [7] [7] Danielczuk M, Matl M, Gupta S, et al. Segmenting unknown 3d objects from real depth images using mask rcnn trained on synthetic data[C]2019 International Conference on Robotics Automation (ICRA). IEEE, 2019: 72837290.

    [9] Leng J, Liu Y, Du D. Robust obstacle detection and recognition for driver assistance systems[J]. IEEE Transactions on Intelligent Transportation Systems, 21, 1560-1571(2019).

    [10] [10] Hu Z, Uchimura K. UVdisparity: an efficient algithm f stereovision based scene analysis[C]IEEE Proceedings. Intelligent Vehicles Symposium. IEEE, 2005: 4854.

    [11] [11] Li Xiaohan. Research on realtime detection technology of passable area based on binocular stereovision[D]. Beijing: University of Chinese Academy of Sciences, 2018.

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    Xiaohan Li, Lu Chen, Xiang Zhou. Segmentation in multi-objects scene based on disparity and fringe modulation analysis[J]. Infrared and Laser Engineering, 2020, 49(6): 20200085

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    Paper Information

    Category: Special issue-Optical 3D imaging and sensing

    Received: Mar. 1, 2020

    Accepted: --

    Published Online: Aug. 19, 2020

    The Author Email:

    DOI:10.3788/IRLA20200085

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