Tunnel vision optimization method for VR flood scenes based on Gaussian blur

Fu, Lin; Zhu, Jun; Li, Weilian; Zhu, Qing; Xu, Bo; Xie, Yakun; Zhang, Yunhao; Hu, Yan; Lü, Jing-Tao; Dang, Pei; You, Jigang

doi:10.1080/17538947.2021.1886359

Cited by 26 publications

(9 citation statements)

References 36 publications

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“…In [24] the researchers proposed a Gaussian blur-based tunnel vision optimization approach for VR flood situations.…”

Section: Literature Reviewmentioning

confidence: 99%

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[Retracted] Optimization and Application of Information Visualization Design Based on Image Symbol under the Guidance of Feature Integration Theory

Dong

2022

Contrast Media & Molecular Imaging

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Increasingly, today’s businesses rely on data visualization to aid in the outcome that is directly linked to the bulk of their earnings. Due to the enormous volume, speed, and accuracy requirements of data management, database professionals are becoming increasingly necessary to aid in the effective visualization of data. Assuming the information to be depicted is free of ambiguity, most visualization approaches were developed. However, this is a rare occurrence. There has been a recent upsurge in visualizations that attempt to convey a sense of unpredictability. When it comes to visual optimization, we present a novel cognitive fuzzy logic-based particle swarm optimization (CFLPSO) to optimize the data visualizations. Initially, the datasets are gathered as images as well as are denoised and enhanced by employing the bilateral three-dimensional fairing median filter (B-3D-FMF) and contrast illuminate histogram equalization (CIHE), correspondingly. Principal component analysis (PCA) is utilized in the feature extraction stage to extract the features from the enhanced data. Then, the feature integration theory is applied to the extracted features, and also a fast rectangle-packing algorithm is applied to the data visualization. And the proposed approach is employed for visual optimization. The performance of the proposed technique is examined and compared with other existing techniques to obtain the proposed technique with the greatest effectiveness of visual optimization. The findings are depicted by utilizing the Origin tool.

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“…In [24] the researchers proposed a Gaussian blur-based tunnel vision optimization approach for VR flood situations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [ 24 ] the researchers proposed a Gaussian blur-based tunnel vision optimization approach for VR flood situations. The main approaches, like the area of attention computation and “tunnel vision optimization,” are investigated in light of the human visual system's peculiarities.…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Optimization and Application of Information Visualization Design Based on Image Symbol under the Guidance of Feature Integration Theory

Dong

2022

Contrast Media & Molecular Imaging

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“…A motion recognition method based on image processing [11] is proposed here. First, collect sports training action images, capture sports training actions in Gaussian blur [12] affine space [13], and extract features. Use image processing methods to realize the recognition and optimization of sports training actions [14].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Sports Action Recognition Based on Image Processing Technology and Analysis of the Development of Sports Industry Pattern

Zhao-yin

Zhang

Sun

2021

Scientific Programming

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The current era is an information age, and society is turning to the information age. The image processing technology is also widely used in various fields, and the technology of sports action recognition based on image processing technology can also be said to be appropriate. This article uses a spatial visual feature analysis algorithm to implement it. To implement this algorithm, a series of work such as image collection, feature extraction, and action recognition must be completed first and then implemented through texture functions and other related functions. This algorithm can be used to complete the image-based sports action recognition technology at the minimum time cost. This algorithm can help sportsmen better complete training and standardize movements to a certain extent. As for the development of China’s current sports industry structure, it is also steadily improving. The people’s love for sports is getting stronger and stronger, which also makes the development of China’s sports industry still benefit a lot.

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“…Wu et al introduced an innovative holographic projection technology to the bridge construction process, applying a new algorithm to improve the efficiency and quality of visualization of real-time bridge construction scenes [19]. It provided effective approaches to visualization tasks.…”

Section: Design and Construction Phasementioning

confidence: 99%

Research on the development and application of digital twin for the full life cycle of bridge engineering

Tao

2024

TNS

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Bridges play an important role in modern society, whereas many bridges are in poor condition and are characterized by complexity, randomness, and risk no matter what phase the bridges are in. Meanwhile, with advanced technologies such as IoT and Big Data, Digital Twin has been developed in different industries, such as aerospace. With multiple superiorities of real-time data detection, big data processing, full life-cycle management, etc., it is appropriate for bridge engineering. The paper aims to present a state-of-the-art literature review on the full life cycle of the application of Digital Twin in Bridge Engineering. The article discusses the relationship between Digital Twin and Building Information Model (BIM) and constructs a comprehensive framework for Digital Twin in Bridge Engineering. The review is classified into three main parts design and construction phase, operation and maintenance phase, and demolition phase based on different stages of the full life cycle. The results show the applications high potential and feasibility, and show that most of the current research focuses on the operation and maintenance phases. However, intensive research is still necessary to improve the accuracy, quality, efficiency, timeliness, and versatility of the Digital Twin in Bridge Engineering.

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Tunnel vision optimization method for VR flood scenes based on Gaussian blur

Cited by 26 publications

References 36 publications

[Retracted] Optimization and Application of Information Visualization Design Based on Image Symbol under the Guidance of Feature Integration Theory

[Retracted] Optimization and Application of Information Visualization Design Based on Image Symbol under the Guidance of Feature Integration Theory

[Retracted] Sports Action Recognition Based on Image Processing Technology and Analysis of the Development of Sports Industry Pattern

Research on the development and application of digital twin for the full life cycle of bridge engineering

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