Phase-aware candidate selection for time-of-flight depth map denoising

17 March 2015 Phase-aware candidate selection for time-of-flight depth map denoising

Thomas Hach, Tamara Seybold, Hendrik Böttcher

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Proceedings Volume 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015; 93930E (2015) https://doi.org/10.1117/12.2076622
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

This paper presents a new pre-processing algorithm for Time-of-Flight (TOF) depth map denoising. Typically, denoising algorithms use the raw depth map as it comes from the sensor. Systematic artifacts due to the measurement principle are not taken into account which degrades the denoising results. For phase measurement TOF sensing, a major artifact is observed as salt-and-pepper noise caused by the measurement’s ambiguity. Our pre-processing algorithm is able to isolate and unwrap affected pixels deploying the physical behavior of the capturing system yielding Gaussian noise. Using this pre-processing method before applying the denoising step clearly improves the parameter estimation for the denoising filter together with its final results.

Citation Download Citation

Thomas Hach, Tamara Seybold, and Hendrik Böttcher "Phase-aware candidate selection for time-of-flight depth map denoising", Proc. SPIE 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015, 93930E (17 March 2015); https://doi.org/10.1117/12.2076622

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