• Acta Optica Sinica
  • Vol. 41, Issue 15, 1526001 (2021)
Jinghua Zhang, Yan Zhang*, Zhiguang Shi, Biao Li, Yu Zhang, Di Liu, and Yuchang Suo
Author Affiliations
  • National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
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    DOI: 10.3788/AOS202141.1526001 Cite this Article Set citation alerts
    Jinghua Zhang, Yan Zhang, Zhiguang Shi, Biao Li, Yu Zhang, Di Liu, Yuchang Suo. Reflected Light Separation on Transparent Object Surface Based on Normal Vector Estimation[J]. Acta Optica Sinica, 2021, 41(15): 1526001 Copy Citation Text show less
    Components of light on transparent object’s surface
    Fig. 1. Components of light on transparent object’s surface
    Simulation results. (a) Reflectivity and polarization degree of reflected light; (b) transmissivity and polarization degree of transmitted light
    Fig. 2. Simulation results. (a) Reflectivity and polarization degree of reflected light; (b) transmissivity and polarization degree of transmitted light
    Diagram of transmission of polarization state of light waves on surface of transparent object
    Fig. 3. Diagram of transmission of polarization state of light waves on surface of transparent object
    Process of solving azimuth angle of incident plane at central point. (a) Image of polarization angles; (b) Histogram of central pixel block in image of polarization angles
    Fig. 4. Process of solving azimuth angle of incident plane at central point. (a) Image of polarization angles; (b) Histogram of central pixel block in image of polarization angles
    Reflected light scenes. (a) Transmitted light image; (b) reflected light image; (c) polarization image in vertical direction; (d) polarization image in parallel direction
    Fig. 5. Reflected light scenes. (a) Transmitted light image; (b) reflected light image; (c) polarization image in vertical direction; (d) polarization image in parallel direction
    Reflected light separation results when χ=0.2 and γ=0.2, 0.4, 0.8. (a) γ=0.2; (b) γ=0.4; (c) γ=0.8
    Fig. 6. Reflected light separation results when χ=0.2 and γ=0.2, 0.4, 0.8. (a) γ=0.2; (b) γ=0.4; (c) γ=0.8
    NCC curves in different γ. (a) NCC curve of point P1; (b) NCC curve of point P2
    Fig. 7. NCC curves in different γ. (a) NCC curve of point P1; (b) NCC curve of point P2
    Extraction of zero-crossing pixels and variation curves of correlation value with viewing angle. (a) NCC between over-separated transmitted light image and under-separated transmitted light image; (b) extraction result of zero-crossing pixels; (c) variation curve of mutual information with viewing angle; (d) fR(δ,φ) versus viewing angle
    Fig. 8. Extraction of zero-crossing pixels and variation curves of correlation value with viewing angle. (a) NCC between over-separated transmitted light image and under-separated transmitted light image; (b) extraction result of zero-crossing pixels; (c) variation curve of mutual information with viewing angle; (d) fR(δ,φ) versus viewing angle
    Flow diagram of proposed algorithm
    Fig. 9. Flow diagram of proposed algorithm
    Schematic diagram of reflected light data collection
    Fig. 10. Schematic diagram of reflected light data collection
    Polarization images of indoor scene. (a) True transmitted light image; (b) 0° polarization image; (c) 45° polarization image; (d) 90° polarization image; (e) 135° polarization image; (f) polarization image in parallel direction; (g) polarization image in vertical direction; (h) viewing angle image; (i) azimuth angle image
    Fig. 11. Polarization images of indoor scene. (a) True transmitted light image; (b) 0° polarization image; (c) 45° polarization image; (d) 90° polarization image; (e) 135° polarization image; (f) polarization image in parallel direction; (g) polarization image in vertical direction; (h) viewing angle image; (i) azimuth angle image
    Polarization images of outdoor scene. (a) True transmitted light image; (b) 0° polarization image; (c) 45° polarization image; (d) 90° polarization image; (e) 135° polarization image; (f) polarization image in parallel direction; (g) polarization image in vertical direction; (h) viewing angle image; (i) azimuth angle image
    Fig. 12. Polarization images of outdoor scene. (a) True transmitted light image; (b) 0° polarization image; (c) 45° polarization image; (d) 90° polarization image; (e) 135° polarization image; (f) polarization image in parallel direction; (g) polarization image in vertical direction; (h) viewing angle image; (i) azimuth angle image
    Reflected light separation results of indoor scene. (a1)(a2) Proposed algorithm; (b1)(b2) algorithm in Ref. [2]; (c1)(c2) algorithm in Ref. [10]; (d1)(d2) algorithm in Ref. [11]
    Fig. 13. Reflected light separation results of indoor scene. (a1)(a2) Proposed algorithm; (b1)(b2) algorithm in Ref. [2]; (c1)(c2) algorithm in Ref. [10]; (d1)(d2) algorithm in Ref. [11]
    Reflected light separation results of outdoor scene. (a1)(a2) Proposed algorithm; (b1)(b2) algorithm in Ref. [2]; (c1)(c2) algorithm in Ref. [10]; (d1)(d2) algorithm in Ref. [11]
    Fig. 14. Reflected light separation results of outdoor scene. (a1)(a2) Proposed algorithm; (b1)(b2) algorithm in Ref. [2]; (c1)(c2) algorithm in Ref. [10]; (d1)(d2) algorithm in Ref. [11]
    SceneEvaluation indexOursAlgorithm inRef. [2]Algorithm inRef. [10]Algorithm inRef. [11]
    Indoor sceneSSIM0.90330.82980.89760.8256
    PSNR24.159517.785720.489920.7342
    Outdoor sceneSSIM0.79950.68650.74980.6168
    PSNR21.336519.528718.952815.7089
    Table 1. Quantitative comparison of separation effects of reflected light under different methods
    Jinghua Zhang, Yan Zhang, Zhiguang Shi, Biao Li, Yu Zhang, Di Liu, Yuchang Suo. Reflected Light Separation on Transparent Object Surface Based on Normal Vector Estimation[J]. Acta Optica Sinica, 2021, 41(15): 1526001
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