• Acta Optica Sinica
  • Vol. 40, Issue 5, 0510002 (2020)
Xiaomin Liu*, Mengzhu Du, Zhibang Ma, Yunfei Zhu, Pengbo Chen, and Fengying Ma
Author Affiliations
  • School of Physics, Zhengzhou University, Zhengzhou, Henan 450001, China
  • show less
    DOI: 10.3788/AOS202040.0510002 Cite this Article Set citation alerts
    Xiaomin Liu, Mengzhu Du, Zhibang Ma, Yunfei Zhu, Pengbo Chen, Fengying Ma. Depth Estimation Method of Light Field Image Based on Occlusion Scene[J]. Acta Optica Sinica, 2020, 40(5): 0510002 Copy Citation Text show less
    Imaging model of Lytro camera
    Fig. 1. Imaging model of Lytro camera
    Diagram of 4D light field
    Fig. 2. Diagram of 4D light field
    Multi-view image
    Fig. 3. Multi-view image
    Digital refocusing principle
    Fig. 4. Digital refocusing principle
    Effect comparison diagram. (a) Constrained adaptive defocus depth map; (b) traditional defocus depth map
    Fig. 5. Effect comparison diagram. (a) Constrained adaptive defocus depth map; (b) traditional defocus depth map
    Defocus depth map and consistent depth map. (a) Constrained adaptive defocus depth map; (b) constrained angle entropy depth map
    Fig. 6. Defocus depth map and consistent depth map. (a) Constrained adaptive defocus depth map; (b) constrained angle entropy depth map
    Map results. (a) Initial depth map; (b) confidence map; (c) edge detection result; (d) final depth estimation result
    Fig. 7. Map results. (a) Initial depth map; (b) confidence map; (c) edge detection result; (d) final depth estimation result
    Depth estimation results of MonasRoom light field reference dataset. (a) MonasRoom central perspective image; (b) GT value; (c) the proposed method; (d) method in Ref. [13]; (e) method in Ref.[8]; (f) method in Ref.[5]
    Fig. 8. Depth estimation results of MonasRoom light field reference dataset. (a) MonasRoom central perspective image; (b) GT value; (c) the proposed method; (d) method in Ref. [13]; (e) method in Ref.[8]; (f) method in Ref.[5]
    Depth estimation results of Budden light field reference dataset. (a) Budden central perspective image; (b) GT value; (c) the proposed method; (d) method in Ref.[13]; (e) method in Ref.[8]; (f) method in Ref.[5]
    Fig. 9. Depth estimation results of Budden light field reference dataset. (a) Budden central perspective image; (b) GT value; (c) the proposed method; (d) method in Ref.[13]; (e) method in Ref.[8]; (f) method in Ref.[5]
    Depth estimation results of 5×5 view light field images taken by Lytro
    Fig. 10. Depth estimation results of 5×5 view light field images taken by Lytro
    MethodMonasRoomBuddenMedieval
    Method in Ref.[13]0.003380.009560.01272
    Proposed method0.002110.004130.01210
    Table 1. EMS comparison
    Xiaomin Liu, Mengzhu Du, Zhibang Ma, Yunfei Zhu, Pengbo Chen, Fengying Ma. Depth Estimation Method of Light Field Image Based on Occlusion Scene[J]. Acta Optica Sinica, 2020, 40(5): 0510002
    Download Citation