Structured-Light Based 3D Reconstruction System for Cultural Relic Packaging

Song, Limei; Li, Xinyao; Yang, Yangang; Zhu, Xinjun; Guo, Qinghua; Liu, Hui

doi:10.3390/s18092981

Cited by 38 publications

(17 citation statements)

References 27 publications

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“…Fringe projection as a non-contact and whole field three dimensional (3D) shape measurement technology with high speed, high resolution, and low cost has been widely employed in diverse fields with biomedical applications, industrial and scientific applications, kinematics applications, and biometric identification applications [1][2][3]. The principle of this method is to measure the deformation of projected fringe pattern demodulated by the height of tested object.…”

Section: Introductionmentioning

confidence: 99%

Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement

et al. 2019

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We propose a label enhanced and patch based deep learning phase retrieval approach which can achieve fast and accurate phase retrieval using only several fringe patterns as training dataset. To the best of our knowledge, it is the first time that the advantages of the label enhancement and patch strategy for deep learning based phase retrieval are demonstrated in fringe projection. In the proposed method, the enhanced labeled data in training dataset is designed to learn the mapping between the input fringe pattern and the output enhanced fringe part of the deep neural network (DNN). Moreover, the training data is cropped into small overlapped patches to expand the training samples for the DNN. The performance of the proposed approach is verified by experimental projection fringe patterns with applications in dynamic fringe projection 3D measurement.

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Section: Introductionmentioning

confidence: 99%

Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement

et al. 2019

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“…3D optical measurement has been widely used in various applications like industrial inspection, inverse engineering, robot navigation, and human-machine interaction, etc. [1][2][3][4][5]. Off-the-shelf commercial 3D scanners like structured light system [6][7][8] and laser 3D scanners [9] can perform well in the 3D measurement of diffuse surface or Lambertian surface.…”

Section: Introductionmentioning

confidence: 99%

An Accurate Calibration Means for the Phase Measuring Deflectometry System

Han

Song

2019

Sensors

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Calibration is a critical step for the phase measuring deflectometry system. Existing calibration methods are mainly optimizing the calibration parameters with respect to the 2D re-projection error criterion. However, such a procedure cannot reduce metric errors in the practical application. Therefore, an accurate and practical calibration method is proposed. In which, conventional calibration means is first applied for the primary calibration. Then, a precise square planar mirror is used for the optimization of system calibration parameters. All the intrinsic and extrinsic parameters are considered as a global multi-objective optimization problem. Three metric error criteria are introduced to evaluate the 3D reconstruction accuracy of the reference mirror. Compared with classical calibration means, which apply the parameter optimization in 2D image space to minimize the re-projection errors, the proposed optimization approach is executed in 3D space directly. An experiment and comparison are conducted to verify that the proposed optimal calibration approach can effectively reduce the system deviation and to improve the system measurement accuracy.

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“…Vision-based structured light measurement methods can effectively improve the precision of the measurement. Structured light is becoming increasingly popular in areas such as surface reconfiguration, vision navigation and workpiece inspection [6,7,8,9]. There are various forms of structured light, such as dot structured light, line structured light and surface structured light.…”

Section: Introductionmentioning

confidence: 99%

Flexible Three-Dimensional Reconstruction via Structured-Light-Based Visual Positioning and Global Optimization

Yin

Wang

2019

Sensors

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Three-dimensional (3D) reconstruction using line structured light vision system commonly cooperates with motion restraint devices, such as parallel guide rail push-broom devices. In this study, we propose a visual positioning method to eliminate the motion constraint. An extended orthogonal iteration algorithm for visual positioning is proposed to obtain the precise position of the line structured light binocular camera system during movement. The algorithm uses the information acquired by the binocular camera, and produces a better positioning accuracy than the traditional vision localization algorithm. Furthermore, a global optimization method is proposed to calculate the poses of the camera relative to the world coordinate system at each shooting position. This algorithm effectively reduces the error accumulation and pose drift during visual positioning, and 3D information of the surface can be measured via the proposed free-moving line structured light vision system. The simulation and physical experiments performed herein validate the proposed method and demonstrate the significant improvement in the reconstruction accuracy: when the test distance is 1.5 m, the root mean square error of the point cloud is within 0.5 mm.

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Structured-Light Based 3D Reconstruction System for Cultural Relic Packaging

Cited by 38 publications

References 27 publications

Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement

Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement

An Accurate Calibration Means for the Phase Measuring Deflectometry System

Flexible Three-Dimensional Reconstruction via Structured-Light-Based Visual Positioning and Global Optimization

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