Electro-Optic Technology Application, Volume. 26, Issue 1, 51(2011)

Depth Estimation Methods Based on Computer Vision

JIANG Jing1,2 and ZHANG Xue-song3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(8)

    [2] [2] B K P Hom, B G Schunck. Determining optical flow, Artificial Intelligence[J]. 1981,17:185-203.

    [3] [3] B D Lucas, T Kanade. An iterative image registration technique with an application to stereovision[C] //Proc. Of the International Joint Conf. On Artificial Intelligence, 1981.

    [4] [4] E P Simoneelli, E H Adelson, D J Heeger. Probability distribution of optical flow[C] //IEEE Conference of Computer Vision and Pattern Recognition, 1991:310-315.

    [5] [5] Asada M, Ichikawa H, Tsuji S. Determining Surface Orientation by Projecting a Stripe Pattern [J]. IEEE Trans. PAMI, 1988, 10(5):749-754.

    [6] [6] Wang Y F, Mitiche A, Aggarwal J K. Computation of Surface Orientation and Structure of Objects Using Grid Co ding [J]. IEEE Trans. PAMI, 1987, 9(1):129-137.

    [12] [12] S K Nayar. Shape from focus system [C] //Proc. IEEE CVPR,1992:302-308.

    [13] [13] A P Pentland. A new sense for depth of field [J]. IEEE Trans. PAMI, 1987, 9:523-531.

    [14] [14] J L C Sanz. Advances in machine vision[M]. Springer-Verlag, New York, 1989.

    CLP Journals

    [1] Zou Fangyu, Sun Shaoyuan, Xi Lin, Li Linna. Color Stereo Vision Method of Vehicular Infrared Images with Depth Perception[J]. Laser & Optoelectronics Progress, 2013, 50(1): 11101

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    JIANG Jing, ZHANG Xue-song. Depth Estimation Methods Based on Computer Vision[J]. Electro-Optic Technology Application, 2011, 26(1): 51

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    Paper Information

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    Received: Nov. 26, 2010

    Accepted: --

    Published Online: Apr. 8, 2011

    The Author Email:

    DOI:

    CSTR:32186.14.

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