Analysis and simulation of multipath separation based on improved penalty function method in time-of-flight cameras

Xiangliang Jin; Bin Jiang; Lehao Pan

doi:10.1117/12.2560132

17 April 2020 Analysis and simulation of multipath separation based on improved penalty function method in time-of-flight cameras

Xiangliang Jin, Bin Jiang, Lehao Pan

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Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 1145519 (2020) https://doi.org/10.1117/12.2560132
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

Time-of-flight cameras use the flight time of light to obtain accurate depth information, but its accuracy is affected by multipath interference. In the penalty function method adopted in this study, the best initial iteration point is obtained by cross-correlation of a pseudo-random binary sequence and its displacement sequence, and a continuous and non-segmented exponential penalty (obstacle) function is constructed, which can be used for sparse decomposition of high-dimensional vectors. These two improvements make the penalty function method applicable to sparse decomposition in the multipath separation process. Moreover, under the same measurement times and operation speeds, the improved penalty function method is nearly twice as accurate as the orthogonal matching pursuit algorithm in multipath separation.

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Xiangliang Jin, Bin Jiang, and Lehao Pan "Analysis and simulation of multipath separation based on improved penalty function method in time-of-flight cameras", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145519 (17 April 2020); https://doi.org/10.1117/12.2560132

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KEYWORDS

Time of flight cameras

Sensors

Binary data

Image restoration

Near infrared

Cameras

3D-TOF imaging

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