High-accuracy three-dimensional shape measurement of micro solder paste and printed circuits based on digital image correlation

Zhang, Xian; Su, Yong; Gao, Zeren; Xu, Tian; Ding, Xiaohua

doi:10.1117/1.oe.57.5.054101

Cited by 5 publications

(1 citation statement)

References 43 publications

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“…It can be seen from the above figure that (a) is the original test sample; (b) represents that the original sample is dimensionally reduced according to certain rules to reduce the calculation amount; (c) represents the occlusion pixel filter, which is the binary image of the detected possible occlusion area; and (d) represents the reconstructed test sample. Although the dimension of the original face data is relatively high, it is generally believed that the face data is actually distributed in some low-dimensional manifold spaces [ 12 ], the most typical of which is the linear subspace. We use recurrent neural network to build a special linear subspace, that is, the reconstruction subspace.…”

Section: Recognition Algorithm Of Partially Occluded Face Image Basedmentioning

confidence: 99%

A Local Occlusion Face Image Recognition Algorithm Based on the Recurrent Neural Network

Wang

Qiu

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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The recognition rate of traditional face recognition algorithm to the face image with occlusion is not high, resulting in poor recognition effect. Therefore, this paper proposes a partial occlusion face recognition algorithm based on recurrent neural network. According to the different light sources, the high filtering function is used to analyze the halo effect of the image, realize the preprocessing of partially occluded face image, set up the global face feature area and the local face feature area according to the image features, and extract the global and local features of the image; based on the time and structure features of the recursive neural network, establish the local subspace, and realize the local face image recognition Law. The experimental results show that: compared with the traditional algorithm, the face recognition algorithm studied in this paper has a higher recognition rate, and can accurately recognize the partially occluded face image, which meets the basic requirements of the current face image recognition.

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Section: Recognition Algorithm Of Partially Occluded Face Image Basedmentioning

confidence: 99%

A Local Occlusion Face Image Recognition Algorithm Based on the Recurrent Neural Network

Wang

Qiu

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Height deviation detection of rail bearing platform on high-speed railway track slab based on digital image correlation

Ren

Liu

Gao

et al. 2023

Optics and Lasers in Engineering

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Digital image correlation with improved efficiency by pixel selection

et al. 2020

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With the increase in digital image correlation (DIC) applications, the computational efficiency of DIC is becoming increasingly important. In previous studies, real-time DIC was realized with a relatively small subset. However, a small subset does not always include sufficient gray gradient information. In this paper, a pixel selection strategy is proposed to improve the computational efficiency of DIC further, allowing a real-time deformation measurement with a large subset. Within the subset, zero weight is assigned to unreliable pixels as a way of pursuing maximum efficiency. The modulus of the local intensity gradient vector of each pixel in the reference image is used as the criterion for reliability. Numerical and real experiments conducted to validate the feasibility and effectiveness of the strategy showed that the computational speed of DIC could be improved about 2 times.

show abstract

High-accuracy three-dimensional shape measurement of micro solder paste and printed circuits based on digital image correlation

Cited by 5 publications

References 43 publications

A Local Occlusion Face Image Recognition Algorithm Based on the Recurrent Neural Network

A Local Occlusion Face Image Recognition Algorithm Based on the Recurrent Neural Network

Height deviation detection of rail bearing platform on high-speed railway track slab based on digital image correlation

Digital image correlation with improved efficiency by pixel selection

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