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利用图像中感兴趣区域的标准差来估计相机到发射器的距离。

Using the standard deviation of a region of interest in an image to estimate camera to emitter distance.

机构信息

Telecommunication Department, University of Oriente, Av. de las Américas, SN, Santiago de Cuba 90100, Cuba.

出版信息

Sensors (Basel). 2012;12(5):5687-704. doi: 10.3390/s120505687. Epub 2012 May 3.

DOI:10.3390/s120505687
PMID:22778608
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3386707/
Abstract

In this study, a camera to infrared diode (IRED) distance estimation problem was analyzed. The main objective was to define an alternative to measures depth only using the information extracted from pixel grey levels of the IRED image to estimate the distance between the camera and the IRED. In this paper, the standard deviation of the pixel grey level in the region of interest containing the IRED image is proposed as an empirical parameter to define a model for estimating camera to emitter distance. This model includes the camera exposure time, IRED radiant intensity and the distance between the camera and the IRED. An expression for the standard deviation model related to these magnitudes was also derived and calibrated using different images taken under different conditions. From this analysis, we determined the optimum parameters to ensure the best accuracy provided by this alternative. Once the model calibration had been carried out, a differential method to estimate the distance between the camera and the IRED was defined and applied, considering that the camera was aligned with the IRED. The results indicate that this method represents a useful alternative for determining the depth information.

摘要

本研究分析了相机到红外发光二极管(IRED)的距离估计问题。主要目的是定义一种替代方法,仅使用从 IRED 图像的像素灰度级中提取的信息来测量相机和 IRED 之间的距离。在本文中,提出了包含 IRED 图像的感兴趣区域中像素灰度级的标准偏差作为经验参数,以定义用于估计相机到发射器距离的模型。该模型包括相机曝光时间、IRED 辐射强度以及相机和 IRED 之间的距离。还推导并校准了与这些量相关的标准偏差模型的表达式,使用不同条件下拍摄的不同图像进行了校准。通过该分析,我们确定了最佳参数,以确保该替代方案提供最佳的准确性。在完成模型校准后,定义并应用了一种差分方法来估计相机和 IRED 之间的距离,前提是相机与 IRED 对齐。结果表明,该方法是确定深度信息的有用替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/6da2b5a3f367/sensors-12-05687f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/5cf7650c4cfa/sensors-12-05687f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/f9b5720adc9b/sensors-12-05687f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/ec6205119d16/sensors-12-05687f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/ddf169afefc6/sensors-12-05687f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/4a0ef4e3d5fa/sensors-12-05687f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/52b7407bd05a/sensors-12-05687f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/d8ad567955a1/sensors-12-05687f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/d72863102110/sensors-12-05687f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/4d28a2a847a1/sensors-12-05687f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/f80257687222/sensors-12-05687f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/11028f95b9a2/sensors-12-05687f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/6da2b5a3f367/sensors-12-05687f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/5cf7650c4cfa/sensors-12-05687f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/f9b5720adc9b/sensors-12-05687f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/ec6205119d16/sensors-12-05687f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/ddf169afefc6/sensors-12-05687f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/4a0ef4e3d5fa/sensors-12-05687f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/52b7407bd05a/sensors-12-05687f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/d8ad567955a1/sensors-12-05687f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/d72863102110/sensors-12-05687f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/4d28a2a847a1/sensors-12-05687f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/f80257687222/sensors-12-05687f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/11028f95b9a2/sensors-12-05687f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f2/3386707/6da2b5a3f367/sensors-12-05687f12.jpg

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引用本文的文献

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本文引用的文献

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2
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Sensors (Basel). 2009;9(11):8896-906. doi: 10.3390/s91108896. Epub 2009 Nov 6.
3
Sensor for high speed, high precision measurement of 2-d positions.二维位置高速高精度测量传感器。
Sensors (Basel). 2009;9(11):8810-23. doi: 10.3390/s91108810. Epub 2009 Nov 3.
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Modeling the radiation pattern of LEDs.模拟发光二极管的辐射方向图。
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