Acta Optica Sinica, Volume. 42, Issue 14, 1415001(2022)

Unbalanced Defocus Dataset Construction Based on Stereo Image Pair Dataset

Yunpeng Li1,2, Baozhen Ge1,2、*, Qingguo Tian1,2, and Lü Qieni1,2
Author Affiliations
  • 1School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
  • 2Key Laboratory of Opto-Electronic Information Technology, Ministry of Education, Tianjin University, Tianjin 300072, China
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    References(26)

    [1] Li C H, Xue J P, Lang W et al. Method for interpolation of missing point cloud based on phase mapping in binocular vision[J]. Acta Optica Sinica, 40, 0111019(2020).

    [2] Lin Z L, Zhang G L, Yao E L et al. Stereo visual odometry based on motion object detection in the dynamic scene[J]. Acta Optica Sinica, 37, 1115001(2017).

    [3] Tian M, Guan B L, Sun F et al. Decoupling relative pose estimation method for non-overlapping multi-camera system[J]. Acta Optica Sinica, 41, 0515001(2021).

    [4] Li A, Tang X M, Zhu X Y. Geometric positioning accuracy evaluation of domestic high-resolution satellite images based on unified verification field method[J]. Acta Optica Sinica, 41, 0328001(2021).

    [5] Li Y P, Ge B Z, Tian Q G et al. Eliminating unbalanced defocus blur with a binocular linkage network[J]. Applied Optics, 60, 1171-1181(2021).

    [6] Nah S, Kim T H, Lee K M. Deep multi-scale convolutional neural network for dynamic scene deblurring[C], 257-265(2017).

    [7] Zhou S C, Zhang J W, Zuo W M et al. DAVANet: stereo deblurring with view aggregation[C], 10988-10997(2019).

    [8] Chang J R, Chen Y S. Pyramid stereo matching network[C], 5410-5418(2018).

    [9] Chen Q B, Ge B Z, Li Y P et al. Stereo matching algorithm based on multi attention mechanism[J]. Laser & Optoelectronics Progress, 59, 1633001(2022).

    [10] Cheng M Y, Gai S Y, Da F P. A stereo-matching neural network based on attention mechanism[J]. Acta Optica Sinica, 40, 1415001(2020).

    [11] Geiger A, Lenz P, Stiller C et al. Vision meets robotics: the KITTI dataset[J]. The International Journal of Robotics Research, 32, 1231-1237(2013).

    [12] Cordts M, Omran M, Ramos S et al. The cityscapes dataset for semantic urban scene understanding[C], 3213-3223(2016).

    [13] Scharstein D, Hirschmüller H, Kitajima Y et al. High-resolution stereo datasets with subpixel-accurate ground truth[M]. Jiang X Y, Hornegger J, Koch R. Pattern recognition, 8753, 31-42(2014).

    [15] Schöps T, Schönberger J L, Galliani S et al. A multi-view stereo benchmark with high-resolution images and multi-camera videos[C], 2538-2547(2017).

    [16] Bao W, Wang W, Xu Y H et al. InStereo2K: a large real dataset for stereo matching in indoor scenes[J]. Science China Information Sciences, 63, 212101(2020).

    [17] Cho J, Min D B, Kim Y et al. Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset[J]. Expert Systems with Applications, 178, 114877(2021).

    [18] Butler D J, Wulff J, Stanley G B et al. A naturalistic open source movie for optical flow evaluation[M]. Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012, 7577, 611-625(2012).

    [19] Mayer N, Ilg E, Häusser P et al. A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation[C], 4040-4048(2016).

    [20] D’Andres L, Salvador J, Kochale A et al. Non-parametric blur map regression for depth of field extension[J]. IEEE Transactions on Image Processing, 25, 1660-1673(2016).

    [21] Lee J Y, Lee S, Cho S et al. Deep defocus map estimation using domain adaptation[C], 12214-12222(2019).

    [22] Li H B, Shao W Z. Blind image deblurring: an overview from variational approaches to deep representation models and beyond[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 40, 84-94(2020).

    [23] Lee S, Kim G J, Choi S. Real-time depth-of-field rendering using point splatting on per-pixel layers[J]. Computer Graphics Forum, 27, 1955-1962(2008).

    [24] Wu Y C, Boominathan V, Chen H J et al. PhaseCam3D: earning phase masks for passive single view depth estimation[C], 18793739(2019).

    [25] Li F, Sun J, Wang J et al. Dual-focus stereo imaging[J]. Journal of Electronic Imaging, 19, 043009(2010).

    [26] McGuire M, Matusik W, Pfister H et al. Defocus video matting[J]. ACM Transactions on Graphics, 24, 567-576(2005).

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    Yunpeng Li, Baozhen Ge, Qingguo Tian, Lü Qieni. Unbalanced Defocus Dataset Construction Based on Stereo Image Pair Dataset[J]. Acta Optica Sinica, 2022, 42(14): 1415001

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    Paper Information

    Category: Machine Vision

    Received: Dec. 15, 2021

    Accepted: Jan. 20, 2022

    Published Online: Jul. 15, 2022

    The Author Email: Ge Baozhen (gebz@tju.edu.cn)

    DOI:10.3788/AOS202242.1415001

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