Acta Optica Sinica, Volume. 43, Issue 14, 1415002(2023)

Depth Estimation Using Polarizer-Free Liquid Crystal Lens

Wenjie Lai1, Zhiqiang Liu1, Tao Sun2, and Xiao Hu1、*
Author Affiliations
  • 1School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610000, Sichuan, China
  • 2Armored Forces Research Institute, Army Research Academy, Beijing 100072, China
  • show less
    References(34)

    [1] Ding M, Jiang X Y. Scene depth estimation based on monocular vision in advanced driving assistance system[J]. Acta Optica Sinica, 40, 1715001(2020).

    [2] Liu X M, Du M Z, Ma Z B et al. Depth estimation method of light field image based on occlusion scene[J]. Acta Optica Sinica, 40, 0510002(2020).

    [3] Sha H, Liu Y, Wang Y T et al. Monocular indoor depth estimation method based on neural networks with constraints on two-dimensional images and three-dimensional geometry[J]. Acta Optica Sinica, 42, 1911001(2022).

    [4] Wan C J, Liu Z Q, Xu L H et al. Stereo image acquisition system using optical axis movable liquid crystal lens[J]. Acta Optica Sinica, 43, 0311002(2023).

    [5] Li H D, Zhang H X, Song X M et al. Three-dimensional light-sheet microscopy imaging system with liquid zoom lens and galvanometer mirror[J]. Acta Optica Sinica, 43, 0211001(2023).

    [6] Izadi S, Kim D, Hilliges O et al. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera[C], 559-568(2011).

    [7] Silberman N, Hoiem D, Kohli P et al. Indoor segmentation and support inference from RGBD images[M]. Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012. Lecture notes in computer science, 7576, 746-760(2012).

    [8] Biswas J, Veloso M. Depth camera based indoor mobile robot localization and navigation[C], 1697-1702(2012).

    [10] Zhao C Q, Sun Q Y, Zhang C Z et al. Monocular depth estimation based on deep learning: an overview[J]. Science China Technological Sciences, 63, 1612-1627(2020).

    [11] Khan F, Salahuddin S, Javidnia H. Deep learning-based monocular depth estimation methods-a state-of-the-art review[J]. Sensors, 20, 2272(2020).

    [12] Horn B K P. Focusing[D](1968).

    [13] Pentland A P. A new sense for depth of field[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9, 523-531(1987).

    [14] Watanabe M, Nayar S K. Rational filters for passive depth from defocus[J]. International Journal of Computer Vision, 27, 203-225(1998).

    [15] Schechner Y Y, Kiryati N. Depth from defocus vs. stereo: how different really are they?[J]. International Journal of Computer Vision, 39, 141-162(2000).

    [16] Levin A, Fergus R, Durand F et al. Image and depth from a conventional camera with a coded aperture[J]. ACM Transactions on Graphics, 26, 70-80(2007).

    [17] Zhou C Y, Lin S, Nayar S K. Coded aperture pairs for depth from defocus and defocus deblurring[J]. International Journal of Computer Vision, 93, 53-72(2011).

    [18] Ye M, Chen X X, Li Q C et al. Depth from defocus measurement method based on liquid crystal lens[J]. Optics Express, 26, 28413-28420(2018).

    [19] Zheng L M, Chen X X, Zhang Y L et al. Influence of the maximum blur radius on depth sensor based on liquid crystal lens[J]. Photonic Sensors, 11, 371-375(2021).

    [20] Bao R, Cui C H, Yu S D et al. Polarizer-free imaging of liquid crystal lens[J]. Optics Express, 22, 19824-19830(2014).

    [21] Cui C H, Bao R, Yu S D et al. Denoising for polarizer-free imaging of liquid crystal lens[J]. SID Symposium Digest of Technical Papers, 46, 262-265(2015).

    [22] Xian T, Subbarao M. Depth-from-defocus: blur equalization technique[J]. Procceedings of SPIE, 6382, 63820E(2006).

    [23] Tang H X, Cohen S, Price B et al. Depth from defocus in the wild[C], 4773-4781(2017).

    [24] Martinello M. Coded aperture imaging[D](2012).

    [25] Schechner Y Y, Kiryati N. The optimal axial interval in estimating depth from defocus[C], 843-848(2002).

    [26] Simoncelli E P, Olshausen B A. Natural image statistics and neural representation[J]. Annual Review of Neuroscience, 24, 1193-1216(2001).

    [27] Watanabe M, Nayar S K. Minimal operator set for passive depth from defocus[C], 431-438(2002).

    [28] Feng W B, Liu Z Q, Xu L H et al. Design method for high-performance liquid crystal lens[J]. Acta Optica Sinica, 43, 0223001(2023).

    [29] Ma H Y, Liao Q M, Zhang J C et al. An α-matte boundary defocus model-based cascaded network for multi-focus image fusion[J]. IEEE Transactions on Image Processing, 29, 8668-8679(2020).

    [30] Drozdov G, Shapiro Y, Gilboa G. Robust recovery of heavily degraded depth measurements[C], 56-65(2016).

    [31] Levin A, Lischinski D, Weiss Y. A closed-form solution to natural image matting[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 228-242(2008).

    [32] Woodford O, Torr P, Reid I et al. Global stereo reconstruction under second-order smoothness priors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 2115-2128(2009).

    [33] Zhang Y D, Funkhouser T. Deep depth completion of a single RGB-D image[C], 175-185(2018).

    [34] Kirillov A, Wu Y X, He K M et al. PointRend: image segmentation as rendering[C], 9796-9805(2020).

    Tools

    Get Citation

    Copy Citation Text

    Wenjie Lai, Zhiqiang Liu, Tao Sun, Xiao Hu. Depth Estimation Using Polarizer-Free Liquid Crystal Lens[J]. Acta Optica Sinica, 2023, 43(14): 1415002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Feb. 16, 2023

    Accepted: Mar. 24, 2023

    Published Online: Jul. 13, 2023

    The Author Email: Xiao Hu (huxiao@uestc.edu.cn)

    DOI:10.3788/AOS230562

    Topics