Valid depth data extraction and correction for time-of-flight camera

Xin Qiao; Chenyang Ge; Huimin Yao; Pengchao Deng; Yanhui Zhou

doi:10.1117/12.2557533

31 January 2020 Valid depth data extraction and correction for time-of-flight camera

Xin Qiao, Chenyang Ge, Huimin Yao, Pengchao Deng, Yanhui Zhou

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332K (2020) https://doi.org/10.1117/12.2557533
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

In this paper an algorithm is presented to extract the valid depth data and correct the values of flying pixels by using depth information and confidence image. An adaptive segmentation for the measured depth image is executed based on kernel density estimation and one-pass connected component labeling. Then a modified structure tensor is used to detect the invalid pixels and the flying pixels contained in the depth image. Finally these pixels are corrected with the bi-cubic interpolation method or selectively removed by voting operation. And also, the erroneous pixels are excluded with augmented confidence. Experimental results have demonstrated the effectiveness of our algorithm.

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Xin Qiao, Chenyang Ge, Huimin Yao, Pengchao Deng, and Yanhui Zhou "Valid depth data extraction and correction for time-of-flight camera", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332K (31 January 2020); https://doi.org/10.1117/12.2557533

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KEYWORDS

Image segmentation

Time of flight cameras

Image filtering

Image processing algorithms and systems

Sensors

Edge detection

Data corrections

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