Novel Calibration Method for Axes in Line Structured Light Vision Measurement System

Xinyu, 陈新禹 Chen; Zi, 马孜 Ma; Tianfei, 陈天飞 Chen; Peng, 李鹏 Li

doi:10.3788/cjl201239.1108014

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chen et al proposed a novel calibration method for axes in the line structured light vision measurement system. Their calibration method could reduce calibration cost [23]. The vanishing points to self-calibrate a structured light system was proposed in [24] and it could replace the complex patterns and 3D calibrated objects.…”

Section: Literature Reviewmentioning

confidence: 99%

A Framework in Calibration Process for Line Structured Light System Using Image Analysis

et al. 2021

View full text Add to dashboard Cite

Line structured light systems have been widely applied in the measurement of various fields. Calibration has been a hot research topic as a vitally important process of the line structured light system. The accurate calibration directly affects the measurement result of the line structured light system. However, the external environment factors, such as uneven illumination and uncertain light stripe width, can easily lead to an inaccurate extraction of light stripe center, which will affect the accuracy of the calibration. An image analysis-based framework in the calibration process was proposed for the line structure light system in this paper. A three-dimensional (3D) vision model of line structure light system was constructed. An image filtering model was established to equalize the uneven illumination of light stripe image. After segmenting the stripe image, an adaptive window was developed, and the width of the light stripe was estimated by sliding the window over the light stripe image. The light stripe center was calculated using the gray centroid method. The light plane was fitted based on the calibration points coordinates acquired by the camera system. In the measurement experiment of standard gauge block width, the maximum and minimum average deviations of 0.021 pixels and 0.008 pixels and the maximum and minimum absolute deviations of 0.023 pixels and 0.009 pixels could be obtained by using the proposed method, which implies the accuracy of the proposed method.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A Framework in Calibration Process for Line Structured Light System Using Image Analysis

et al. 2021

View full text Add to dashboard Cite

show abstract

The location and identification of concentric circles in automatic camera calibration

Chen

et al. 2013

Optics & Laser Technology

View full text Add to dashboard Cite

The 3D reconstruction method of a line-structured light vision sensor based on composite depth images

Wang¹,

Zhehai²

2021

Meas. Sci. Technol.

View full text Add to dashboard Cite

In order to simplify the three-dimensional (3D) reconstruction process of a rotating scanning line-structured light vision sensor, a 3D reconstruction method of composite depth images is proposed. First, a frame of an image acquired by a camera at a constant speed is converted into a column of data in the composite pixel image. Second, the composite pixel image is transformed into a depth image via coordinate transformation. Finally, the 3D coordinates of the object are calculated from the depth image by perspective transformation. The parameters of the light plane are calibrated by using a one-dimensional target, and the focal length of the depth image is calibrated by using a ball target. Compared with the traditional 3D reconstruction method of a structured light vision sensor, this method uses a composite depth image instead of point cloud splicing, which is simple to operate and flexible to calibrate, and further improves the efficiency of the 3D reconstruction of a structured light vision sensor. Experiments show that the absolute error of the 3D measurement in the measurement range of 380–4000 mm is less than 0.21 mm, and the accuracy is higher than 0.26%, which significantly improves the measurement efficiency and point cloud density of the system, and can meet the general 3D reconstruction requirements of the scene.

show abstract

Novel Calibration Method for Axes in Line Structured Light Vision Measurement System

Cited by 3 publications

References 0 publications

A Framework in Calibration Process for Line Structured Light System Using Image Analysis

A Framework in Calibration Process for Line Structured Light System Using Image Analysis

The location and identification of concentric circles in automatic camera calibration

The 3D reconstruction method of a line-structured light vision sensor based on composite depth images

Contact Info

Product

Resources

About