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Improving depth estimation from a plenoptic camera by patterned illumination

机译：通过图案照明改善全光摄像机的深度估计

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摘要

Analysing the results in Table 1, it is clear that the differences between generated depth maps are greater between two projected patterns and the projected and printed patterns with relation to the two printed patterns. However, as the maximum percentage difference does not exceed 7% and mean differences are all below 1.2%, this shows that there is very little difference between projecting texture and it already being present on the scene. Along with p-values from a paired t-test of ＜ 0.001 for every comparison, this can validate the use of a projector for producing texture on a scene.
机译：分析表1中的结果，很明显，在两个投影图案之间以及在与两个打印图案相关的投影和打印图案之间，生成的深度图之间的差异更大。但是，由于最大百分比差异不超过7％，并且平均差异均低于1.2％，因此，这表明投影纹理与场景中已经存在的纹理之间几乎没有差异。每次比较时，配对t检验的p值均小于0.001，这可以验证是否使用投影仪在场景上产生纹理。

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    Richard J. Marshall; Chris J. Meah; Massimo Turola; Ela Claridge; Alex Robinson; Kai Bongs; Steve Gruppetta; Iain B. Styles;

  • 作者单位

    PSIBS Doctoral Training Centre, University of Birmingham, Edgbaston, UK;

    PSIBS Doctoral Training Centre, University of Birmingham, Edgbaston, UK;

    Optometry Division, School of Health Sciences, City University London, Northampton Square, London, UK;

    School of Computer Science, University of Birmingham, Edgbaston, UK;

    School of Chemical Engineering, University of Birmingham, Edgbaston, UK;

    School of Physics and Astronomy, University of Birmingham, Edgbaston, UK;

    Optometry Division, School of Health Sciences, City University London, Northampton Square, London, UK;

    School of Computer Science, University of Birmingham, Edgbaston, UK;

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