Time-of-Flight Sensor Calibration for a Color and Depth Camera Pair

IEEE Transactions on Pattern Analysis and Machine Intelligence
Jiyoung JungIn So Kweon

Abstract

We present a calibration method of a time-of-flight (ToF) sensor and a color camera pair to align the 3D measurements with the color image correctly. We have designed a 2.5D pattern board with irregularly placed holes to be accurately detected from low resolution depth images of a ToF camera as well as from high resolution color images. In order to improve the accuracy of the 3D measurements of a ToF camera, we propose to perform ray correction and range bias correction. We reset the transformation of the ToF sensor which transforms the radial distance into the scene depth in Cartesian coordinate through ray correction. Then we capture a planar scene from different depths to correct the distance error that is shown to be dependent not only on the distance but also on the pixel location. The range error profiles along the calibrated distance are classified according to their wiggling shapes and each cluster of profiles with similar shape are separately estimated using a B-spline function. The standard deviation of the remaining random noise is recorded as an uncertainty information of distance measurements. We show the performance of our calibration method quantitatively and qualitatively on various datasets, and validate the im...Continue Reading

References

May 30, 2012·IEEE Transactions on Pattern Analysis and Machine Intelligence· Daniel Herrera C Janne Heikkilä

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Citations

Sep 20, 2018·Journal of the Experimental Analysis of Behavior·Toshikazu Kuroda
Nov 27, 2019·Sensors·Chenyang ZhangQiang Zhao
Jan 27, 2016·International Journal of Computer Assisted Radiology and Surgery·Xiang WangNassir Navab
Apr 27, 2019·Frontiers in Neuroinformatics·Shengyong ChenMeng Zhao

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