光照强度对Kinect v2深度数据测量精度的影响
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国家自然科学基金项目(32001412)


Influence Analysis of Light Intensity on Kinect v2 Depth Measurement Accuracy
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    摘要:

    Kinect v2深度测量受光照环境的影响较大,为定量分析光照因素对Kinect v2测量精度的影响,构建Kinect v2深度测量试验系统,进行了不同距离和不同光照强度下深度测量的正交试验,得出了深度数据中噪声分布的具体区域,建立了光照强度影响下深度数据修正模型,对深度测量误差进行了补偿。试验结果表明,深度数据中的噪声干扰主要存在于边缘和4个边角部分,且随着测量距离的增加和光照强度的增大向中心部分逐渐扩散,但是光照强度的影响更为显著,当光照强度超过6500lx时,深度数据的有效率不超过60%。利用光照强度补偿模型对深度测量数据进行修正后,深度数据测量平均相对误差缩小率为44.55%。在花生冠层信息获取中进行了应用,验证了本文数据修正模型的有效性。

    Abstract:

    Kinect v2 depth measurement is greatly affected by the lighting environment, in order to quantitatively analyze the influence of lighting factors on Kinect v2 measurement accuracy, a Kinect v2 depth measurement test system was constructed, orthogonal tests of depth measurement at different distances and different lighting intensities were conducted, the specific areas of noise distribution in depth data were derived, a depth data correction model under the influence of lighting intensity was established. The depth measurement error was compensated. The test results showed that the noise interference in the depth data mainly existed in the edges and four corner parts, and gradually spreaded to the center part with the increase of measurement distance and light intensity, but the effect of light intensity was more significant, and the effective rate of depth data did not exceed 60% when the light intensity exceeded 6500lx. The average relative error of depth data measurement was reduced by 44.55% after the correction of depth measurement data by using the light intensity compensation model. In addition, it was applied in peanut canopy information acquisition to verify the effectiveness of the data correction model.

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肖志刚,周猛祥,袁洪波,刘亚东,范才虎,程 曼.光照强度对Kinect v2深度数据测量精度的影响[J].农业机械学报,2021,52(S0):108-117. XIAO Zhigang, ZHOU Mengxiang, YUAN Hongbo, LIU Yadong, FAN Caihu, CHENG Man. Influence Analysis of Light Intensity on Kinect v2 Depth Measurement Accuracy[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(S0):108-117.

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  • 收稿日期:2021-07-11
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  • 在线发布日期: 2021-11-10
  • 出版日期: 2021-12-10