3D Shape Reconstruction Based on Digital Holography of Stereo Matching Techonology

Zanzan, 张赞赞 Zhang; Hui, 王辉 Wang; Qiong, 吴琼 Wu; Zhiguang, 李志光 Li

doi:10.3788/lop51.110901

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…In recent years, with the development of computer technology, 3D reconstruction technology is widely used in industrial production, medical diagnosis, virtual reality and other fields [1,2] . Before realizing the 3D reconstruction, the 3D coordinate information of the object needs to be obtained based on the 2D image, which mainly includes contact measurement and non-contact measurement [3] .…”

Section: Introductionmentioning

confidence: 99%

Research on stereo matching algorithm of 3D reconstruction based on improved census transform

Huang

Gong

et al. 2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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Stereo matching is a critical step in three-dimensional reconstruction. The conventional Census transform is excessively dependent on the central pixel and is susceptible to noise interference. Therefore, this study proposes a cost calculation method for multi-feature fusion based on the HSV color space and an improved Census transform. To address the problem of poor matching in regions with weak textures and depth discontinuities. In this study, a new window construction method is developed based on the length and variable color threshold to obtain the crossover region. After dividing the weights of the constructed windows, the cost aggregation is calculated. Finally, a dense parallax map is obtained via parallax calculation and optimization. Experiments were conducted based on the data provided by the Middlebury dataset. The experimental results showed that the improved cost calculation algorithm was significantly resistant to noise, and the average mis match rate of the algorithm was reduced to 8.03%.

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Section: Introductionmentioning

confidence: 99%

Research on stereo matching algorithm of 3D reconstruction based on improved census transform

Huang

Gong

et al. 2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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“…Stereoscopic matching technology has always been a challenging and hot topic in the field of stereovision, attracting the attention of numerous research scholars. Stereoscopic matching technology can provide relatively accurate threedimensional depth information of objects and finds extensive applications in areas such as robotic visual navigation, virtual reality, and 3D reconstruction [1][2] .…”

Section: Introduction 11 Experimental Backgroundmentioning

confidence: 99%

Research on global stereo matching technology based on dynamic programming

Liu,

Sun,

Wang

et al. 2023

Fourteenth International Conference on Information Optics and Photonics (CIOP 2023)

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Stereo Matching Algorithm Based on HSV Color Space and Improved Census Transform

Kou

et al. 2021

Mathematical Problems in Engineering

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Aiming at the problem that stereo matching accuracy is easily affected by noise and amplitude distortion, a stereo matching algorithm based on HSV color space and improved census transform is proposed. In the cost calculation stage, the color image is first converted from RGB space to HSV space; moreover, the hue channel is used as the matching primitive to establish the hue absolute difference (HAD) cost calculation function, which reduces the amount of calculation and enhances the robustness of matching. Then, to solve the problem of the traditional census transform overrelying on the central pixel and to improve the noise resistance of the algorithm, an improved census method based on neighborhood weighting is also proposed. Finally, the HAD cost and the improved census cost are nonlinearly fused as the initial cost. In the aggregation stage, an outlier elimination method based on confidence interval is proposed. By calculating the confidence interval of the aggregation window, this paper eliminates the cost value that is not in the confidence interval and subsequently filters as well as aggregates the remaining costs to further reduce the noise interference and improve the matching accuracy. Experiments show that the proposed method can not only effectively suppress the influence of noise, but also achieve a more robust matching effect in scenes with changing exposure and lighting conditions.

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3D Shape Reconstruction Based on Digital Holography of Stereo Matching Techonology

Cited by 3 publications

References 5 publications

Research on stereo matching algorithm of 3D reconstruction based on improved census transform

Research on stereo matching algorithm of 3D reconstruction based on improved census transform

Research on global stereo matching technology based on dynamic programming

Stereo Matching Algorithm Based on HSV Color Space and Improved Census Transform

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