Extrinsic Self-Calibration of Time-of-Flight Cameras using a Combination of 3D and Intensity Descriptors

Schmidt, Jörn; Brückner, Marcel; Denzler, Joachim

Extrinsic Self-Calibration of Time-of-Flight Cameras using a Combination of 3D and Intensity Descriptors

Files

269-276.pdf (375.27 KB)

Date

2011

Authors

Schmidt, Jörn
Brückner, Marcel
Denzler, Joachim

Publisher

The Eurographics Association

Abstract

Time-of-Flight (ToF) cameras are able to simultaneously record intensity and depth images at a high frequency. Many applications require images that are recorded from different viewpoints. In order to consolidate the recorded data into a common coordinate system, the extrinsic calibration between the cameras needs to be known. From a practical point of view this calibration should be accomplished without any user interaction or artificial calibration objects. Classical approaches for extrinsic self-calibration fail to extract correct point correspondences and do not exploit the important information provided by the depth images. In this paper we discuss the characteristics of extrinsic ToF camera calibration and present a descriptor combination for the extraction of 3D point correspondences. Several experiments on real data demonstrate the robustness and high accuracy of our approach. Our method outperforms the state-of-the-art approach for point correspondence extraction in classical camera images.

        @inproceedings{:10.2312/PE/VMV/VMV11/269-276
,
booktitle = {Vision, Modeling, and Visualization (2011)
},
editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier
},
title = {{Extrinsic Self-Calibration of Time-of-Flight Cameras using a Combination of 3D and Intensity Descriptors
}},
author = {Schmidt, Jörn and 
Brückner, Marcel and 
Denzler, Joachim
},
year = {2011
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-85-2
},
DOI = {/10.2312/PE/VMV/VMV11/269-276
}
}