1 September 2015 A novel extrinsic calibration method of ToF cameras based on a virtual multi-cubes shaped object
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Abstract
Extrinsic calibration accuracy for time-of-flight (ToF) cameras is affected by accumulated errors which are generated by recognition of conventional objects with multi-characteristics such as checkerboard. In order to eliminate accumulated errors, in this paper, we propose a novel extrinsic calibration method of ToF cameras with a virtual multi-cubes shaped object. First, we establish the model of a 3-axis translation stage composed of three linear translation stages which are orthogonal to each other. Then, a virtual multi-cubes shaped object with multi-characteristics is generated from an optimized combination of multi-motions of the 3-axis translation stage. After recognizing corner characteristics of this multi-cubes shaped object, the proposed method is accomplished by performing the least square method. Our experimental results show that the measurement accuracy of ToF camera is improved from ±10mm to 6.85mm, which is much better than that of the conventional method based on a 2D plane checkerboard. The proposed method has the ability to improve calibration accuracy to a high level. It may find great potential applications in many fields.
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Lei Ao, Lei Ao, Yongqi Liu, Yongqi Liu, Xin Dong, Xin Dong, Ze Zhang, Ze Zhang, } "A novel extrinsic calibration method of ToF cameras based on a virtual multi-cubes shaped object", Proc. SPIE 9576, Applied Advanced Optical Metrology Solutions, 95760L (1 September 2015); doi: 10.1117/12.2186916; https://doi.org/10.1117/12.2186916
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