Title :
Improved phase detection algorithms for indirect time of flight range imaging cameras
Author :
Drayton, Benjamin M. M. ; Carnegie, D.A. ; Dorrington, Adrian A.
Author_Institution :
Sch. of Eng. & Comput. Sci., Victoria Univ. of Wellington, Wellington, New Zealand
Abstract :
Two significant sources of systematic error in current generation indirect time of flight range imaging cameras are systematic linearity error due to harmonics present in the system and axial motion error. Both of these errors are due to violations of assumptions made by the phase detection algorithm. This paper provides a theoretical framework to understand these errors and experimental results demonstrating that both of these errors can be mitigated by replacing the current state of the art phase detection algorithm with the Windowed Discrete Fourier Transform. Using this technique the RMS linearity error of the Victoria University Range Imaging System was decreased from 0.018 ± 0.002 m to 0.003 ± 0.001 m and the RMS motion error was decreased from 0.044 ± 0.002 m to 0.009 ± 0.004 m.
Keywords :
computer vision; discrete Fourier transforms; image motion analysis; mean square error methods; object detection; RMS linearity error; RMS motion error; axial motion error; indirect time-of-flight range imaging camera; phase detection algorithm; windowed discrete Fourier transform; Cameras; Harmonic analysis; Linearity; Measurement uncertainty; Phase measurement; Sensors; Standards; ToF; mobile robotics; phase detection; range imaging;
Conference_Titel :
Robotic and Sensors Environments (ROSE), 2012 IEEE International Symposium on
Conference_Location :
Magdeburg
Print_ISBN :
978-1-4673-2705-3
DOI :
10.1109/ROSE.2012.6402622