• Acta Optica Sinica
  • Vol. 42, Issue 16, 1612003 (2022)
Tianyi Liu, Jun Qiu, Di He*, and Chang Liu
Author Affiliations
  • Institute of Applied Mathematics, Beijing Information Science and Technology University, Beijing 100101, China
  • show less
    DOI: 10.3788/AOS202242.1612003 Cite this Article Set citation alerts
    Tianyi Liu, Jun Qiu, Di He, Chang Liu. Light Field alpha Matting Based on Spatial-Angular Consistency[J]. Acta Optica Sinica, 2022, 42(16): 1612003 Copy Citation Text show less
    References

    [1] Gershun A. The light field[J]. Journal of Mathematics and Physics, 18, 51-151(1939).

    [2] Adelson E H, Bergen J R. The plenoptic function and the elements of early vision[M]. Landy M, Movshon J A. Computational models of visual processing(1991).

    [3] Yin Y K, Yu K, Yu C Z et al. 3D imaging using geometric light field: a review[J]. Chinese Journal of Lasers, 48, 1209001(2021).

    [4] Wu G C, Masia B, Jarabo A et al. Light field image processing: an overview[J]. IEEE Journal of Selected Topics in Signal Processing, 11, 926-954(2017).

    [5] Cho D, Kim S, Tai Y W. Consistent matting for light field images[M]. Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science, 8692, 90-104(2014).

    [6] Porter T, Duff T. Compositing digital images[C], 253-259(1984).

    [7] Levoy M, Hanrahan P. Light field rendering[C], 31-42(1996).

    [8] Fang L, Dai Q H. Computational light field imaging[J]. Acta Optica Sinica, 40, 0111001(2020).

    [9] Kotera J, Rozumnyi D, Šroubek F et al. Intra-frame object tracking by deblatting[C], 2300-2309(2019).

    [10] Fan J L, Shen X H, Wu Y. Scribble tracker: a matting-based approach for robust tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 1633-1644(2012).

    [11] Zhou Y. The automatic analysis technology research on moving objects of intelligent transportation system[D](2012).

    [12] Liu C, Narasimhan S G, Dubrawski A W. Matting and depth recovery of thin structures using a focal stack[C], 4782-4790(2017).

    [13] Cho D, Kim S, Tai Y W et al. Automatic trimap generation and consistent matting for light-field images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1504-1517(2017).

    [14] Fiss J, Curless B, Szeliski R. Light field layer matting[C], 623-631(2015).

    [15] Qi F Z. The matting technology base on dynamic light field[D](2011).

    [16] Shahrian E, Rajan D, Price B et al. Improving image matting using comprehensive sampling sets[C], 636-643(2013).

    [17] Johnson J, Varnousfaderani E S, Cholakkal H et al. Sparse coding for alpha matting[J]. IEEE Transactions on Image Processing, 25, 3032-3043(2016).

    [18] Feng X X, Liang X H, Zhang Z L. A cluster sampling method for image matting via sparse coding[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9906, 204-219(2016).

    [19] Karacan L, Erdem A, Erdem E. Alpha matting with KL-divergence-based sparse sampling[J]. IEEE Transactions on Image Processing, 26, 4523-4536(2017).

    [20] Huang H, Liang Y H, Yang X W et al. Pixel-level discrete multiobjective sampling for image matting[J]. IEEE Transactions on Image Processing, 28, 3739-3751(2019).

    [21] Chuang Y Y, Curless B, Salesin D H et al. A Bayesian approach to digital matting[C](2001).

    [22] Wang J, Cohen M F. Optimized color sampling for robust matting[C], 9737875(2007).

    [23] Li G S, Liu G J, Ma W T. Adaptive image segmentation based on region information coupling[J]. Laser & Optoelectronics Progress, 59, 0210013(2022).

    [24] Aksoy Y, Aydin T O, Pollefeys M. Designing effective inter-pixel information flow for natural image matting[C], 228-236(2017).

    [25] Chen X W, Zou D Q, Zhou S Z et al. Image matting with local and nonlocal smooth priors[C], 1902-1907(2013).

    [26] Chen Q F, Li D, Tang C K. KNN matting[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 2175-2188(2013).

    [27] Sun J, Jia J Y, Tang C K et al. Poisson matting[J]. ACM Transactions on Graphics, 23, 315-321(2004).

    [28] 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).

    [29] Honauer K, Johannsen O, Kondermann D et al. A dataset and evaluation methodology for depth estimation on 4D light fields[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ACCV 2016. Lecture notes in computer science, 10113, 19-34(2017).

    [30] Wang T C, Efros A A, Ramamoorthi R. Depth estimation with occlusion modeling using light-field cameras[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 2170-2181(2016).

    Tianyi Liu, Jun Qiu, Di He, Chang Liu. Light Field alpha Matting Based on Spatial-Angular Consistency[J]. Acta Optica Sinica, 2022, 42(16): 1612003
    Download Citation