Method for large-range structured light system calibration

被引:53
作者
An, Yatong [1 ]
Bell, Tyler [1 ]
Li, Beiwen [1 ]
Xu, Jing [2 ]
Zhang, Song [1 ]
机构
[1] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA
[2] Tsinghua Univ, Dept Mech Engn, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
FRINGE PROJECTION PROFILOMETRY; 3-DIMENSIONAL SHAPE MEASUREMENT; CAMERA CALIBRATION;
D O I
10.1364/AO.55.009563
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Structured light system calibration often requires the usage of a calibration target with a similar size as the field of view (FOV), which brings challenges to a large-range structured light system calibration since fabricating large calibration targets is difficult and expensive. This paper presents a large-range system calibration method that does not need a large calibration target. The proposed method includes two stages: (1) accurately calibrate intrinsics (i.e., focal lengths and principle points) at a near range where both the camera and projector are out of focus, and (2) calibrate the extrinsic parameters (translation and rotation) from camera to projector with the assistance of a low-accuracy, large-range three-dimensional (3D) sensor (e.g., Microsoft Kinect). We have developed a large-scale 3D shape measurement system with a FOV of 1120 mm x 1900 mm x 1000 mm. Experiments demonstrate our system can achieve measurement accuracy as high as 0.07 mm with a standard deviation of 0.80 mm by measuring a 304.8 mm diameter sphere. As a comparison, Kinect V2 only achieved mean error of 0.80 mm with a standard deviation of 3.41 mm for the FOV of measurement. (C) 2016 Optical Society of America.
引用
收藏
页码:9563 / 9572
页数:10
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