Rotation Axis Calibration of Laser Line Rotating-Scan System for 3D Reconstruction

Zhu, Zhihao; Yang, Jian; Wang, Xianglong; Qi, Guanqi; Wu, Chuang; Fan, Hao; Qi, Lin; Dong, Junyu

doi:10.1109/icast51195.2020.9319495

Cited by 7 publications

(8 citation statements)

References 18 publications

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“…These values are calculated using the image of the calibration board and must satisfy the conditions outlined in Ref. 31, given as XC=RCXW+TC.…”

Section: Calibration Methodsmentioning

confidence: 99%

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Calibration method of a three-dimensional scanner based on a line laser projector and a camera with 1-axis rotating mechanism

Ha,

Do,

Lee

2024

Opt. Eng.

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This study introduces a scanning system that utilizes a motor platform to mount a line laser and a camera. Two crucial parameters are considered to extract threedimensional information from a single frame: a rotation axis and a specific point along this axis. A calibration approach for rotation axis identification is presented to determine these parameters. The rotation axis corresponds to the normal vector of the camera's movement plane and defines the rotation matrix during the scanning process. The identified point on the rotation axis serves as the translation matrix's center and represents the focal point of the camera's trajectory. A comprehensive point cloud is generated by assembling multiple frames using the scanner's rotation angle. Experimental findings substantiate the method's efficacy in enhancing the system's scanning for plane reconstruction and accuracy, and the scanning quality is much better than that of the previous approach.

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“…These values are calculated using the image of the calibration board and must satisfy the conditions outlined in Ref. 31, given as XC=RCXW+TC.…”

Section: Calibration Methodsmentioning

confidence: 99%

“…These values are calculated using the image of the calibration board and must satisfy the conditions outlined in Ref. 31, given as E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 1 0 ; 1 1 4 ; 4 8 5…”

Section: Establish the Camera's Origin Coordinate Within The Calibrat...mentioning

confidence: 99%

Calibration method of a three-dimensional scanner based on a line laser projector and a camera with 1-axis rotating mechanism

Ha,

Do,

Lee

2024

Opt. Eng.

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“…According to the principle in Figure 1 , the laser image acquisition system was built as shown in Figure 2 . It is composed of an industrial camera and a laser-structured light module (the device in Figure 1 is often used in 3D image reconstruction applications [ 19 ], but due to the laser coherence, the image captured by the camera has speckle noise, which affects the reconstruction accuracy). The laser-structured light module (MSC-PO8508, Wuxi V-Sensor Technology Co., Ltd., Wuxi, China) uses a light source with a wavelength of 850 ± 5 nm, and the camera uses a 1.3-megapixel near-infrared camera; its parameters are shown in Table 1 .…”

Section: Laser Image Acquisition Systemmentioning

confidence: 99%

Improved Weighted Non-Local Mean Filtering Algorithm for Laser Image Speckle Suppression

et al. 2022

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Laser speckle noise caused by coherence between lasers greatly influences the produced image. In order to suppress the effect of laser speckles on images, in this paper we set up a combination of a laser-structured light module and an infrared camera to acquire laser images, and propose an improved weighted non-local mean (IW-NLM) filtering method that adopts an SSI-based adaptive h-solving method to select the optimal h in the weight function. The analysis shows that the algorithm not only denoises the laser image but also smooths pixel jumps in the image, while preserving the image details. The experimental results show that compared with the original laser image, the equivalent number of looks (ENL) index of the IW-NLM filtered image improved by 0.80%. The speckle suppression index (SSI) of local images dropped from 4.69 to 2.55%. Compared with non-local mean filtering algorithms, the algorithm proposed in this paper is an improvement and provides more accurate data support for subsequent image processing analysis.

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“…captured multiple sets of planar object point clouds from diverse positions and completed the calibration of rotation axis by plane constraint method. Zhu et al 16 . and Hou et al 17 .…”

Section: Introductionmentioning

confidence: 99%

“…Zhao et al 15 captured multiple sets of planar object point clouds from diverse positions and completed the calibration of rotation axis by plane constraint method. Zhu et al 16 and Hou et al 17 captured images of the calibration plate from varying angles by rotating the turntable. They subsequently computed the optical center's position for each angle and employed arc fitting techniques to derive the rotation axis' position.…”

Section: Introductionmentioning

confidence: 99%

Tool-free axis calibration method for self-rotating three-dimensional vision systems

Liu,

Cao,

Jia

et al. 2023

Opt. Eng.

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Rotation Axis Calibration of Laser Line Rotating-Scan System for 3D Reconstruction

Cited by 7 publications

References 18 publications

Calibration method of a three-dimensional scanner based on a line laser projector and a camera with 1-axis rotating mechanism

Calibration method of a three-dimensional scanner based on a line laser projector and a camera with 1-axis rotating mechanism

Improved Weighted Non-Local Mean Filtering Algorithm for Laser Image Speckle Suppression

Tool-free axis calibration method for self-rotating three-dimensional vision systems

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