Depth Estimation Method for Monocular Camera Defocus Images in Microscopic Scenes

Ban, Yuxi; Liu, Mingzhe; Wu, Peng; Yang, Bo; Liu, Shan; Yin, Lirong; Zheng, Wenfeng

doi:10.3390/electronics11132012

Cited by 60 publications

(33 citation statements)

References 37 publications

(38 reference statements)

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“…Due to computational resource limitations, other larger and more complex datasets are considered in this experiment [50][51][52][53][54][55]. In addition, the algorithm can meet the real-time requirements, the recognition speed is still very slow.…”

Section: Algorithmsmentioning

confidence: 99%

The Fusion Application of Deep Learning Biological Image Visualization Technology and Human-Computer Interaction Intelligent Robot in Dance Movements

Jin

Wen

Xie

2022

Computational Intelligence and Neuroscience

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The paper aims to apply the deep learning-based image visualization technology to extract, recognize, and analyze human skeleton movements and evaluate the effect of the deep learning-based human-computer interaction (HCI) system. Dance education is researched. Firstly, the Visual Geometry Group Network (VGGNet) is optimized using Convolutional Neural Network (CNN). Then, the VGGNet extracts the human skeleton movements in the OpenPose database. Secondly, the Long Short-Term Memory (LSTM) network is optimized and recognizes human skeleton movements. Finally, an HCI system for dance education is designed based on the extraction and recognition methods of human skeleton movements. Results demonstrate that the highest extraction accuracy is 96%, and the average recognition accuracy of different dance movements is stable. The effectiveness of the proposed model is verified. The recognition accuracy of the optimized F-Multiple LSTMs is increased to 88.9%, suitable for recognizing human skeleton movements. The dance education HCI system’s interactive accuracy built by deep learning-based visualization technology reaches 92%; the overall response time is distributed between 5.1 s and 5.9 s. Hence, the proposed model has excellent instantaneity. Therefore, the deep learning-based image visualization technology has enormous potential in human movement recognition, and combining deep learning and HCI plays a significant role.

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Section: Algorithmsmentioning

confidence: 99%

The Fusion Application of Deep Learning Biological Image Visualization Technology and Human-Computer Interaction Intelligent Robot in Dance Movements

Jin

Wen

Xie

2022

Computational Intelligence and Neuroscience

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“…e four links, including green research and development (dark green technology and light green technology), green production (clean production and virtual production), green marketing (green logistics and network direct marketing), and green brand (lowcarbon certification and ecological brand), jointly constitute the ecological value chain positioning of enterprises. In the practice of positioning internal business, there are two game strategies, positioning the economic value chain of business entities and positioning the ecological value chain of corporate citizens [7][8][9].…”

Section: Ecological Industry Chain and Ecological Value Chainmentioning

confidence: 99%

The Game and Impetus Analysis of Ecological Enrichment of Corporate Citizens

Li¹,

Ning

2022

Discrete Dynamics in Nature and Society

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Ecological enrichment is not the growth of the economic value of a business entity and the use of surplus to fund deficits, but the coordinated growth of corporate citizens’ ecological value and economic value, which is conducive to the positive evolution of ecological beauty and economic vitalization. Through the game model, this paper makes a game analysis of various possibilities of the game of ecological enrichment and further gives a balanced solution to the impetus of ecological enrichment. Positive-sum return, return equilibrium, and dynamic equilibrium are all the necessary conditions for the positive selection of repeated games for corporate citizens’ ecological enrichment and play a decisive role in the impetus of ecological enrichment.

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“…e sense of presence brought by the corresponding situation mainly drives the viewer's emotions [39][40][41][42][43][44][45]. e shaping and construction of the situation take the viewer's emotions and perspective as the main reference, mobilizing the viewer to generate many associations in the constructed virtual scene.…”

Section: Impact Analysis Of Ai and Mr Technologymentioning

confidence: 99%

Interactive Display of Images in Digital Exhibition Halls under Artificial Intelligence and Mixed Reality Technology

Liu¹,

Zhang

2022

Computational Intelligence and Neuroscience

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The attractiveness of traditional exhibition halls to young people is gradually decreasing. Combining modern digital technology to improve the display effect of the exhibition hall can effectively enhance the effect of cultural publicity. This article introduces the technology of image interaction and mixed reality (MR) to improve the historical and cultural propaganda level of the Shaanxi exhibition hall. The advantages of MR technology in applying digital exhibition halls are theoretically expounded. A theoretical plan for Shaanxi history and culture-related display areas is designed using artificial intelligence combined with MR technology. In addition, the survey respondent’s evaluation of the effect of the new exhibition hall is obtained using a questionnaire survey. The survey results show that 97% of people like the history and culture of Shaanxi but only 13% of the people say they know or know very well about the history and culture of Shaanxi. In addition, 60% of the tourists say they are satisfied with the cultural experience of Shaanxi, and only 27% of the tourists are very satisfied. Also, 96% of tourists are willing to experience Shaanxi’s history and culture through digital exhibition halls, and 93% are willing to participate in cultural experience activities based on MR technology. The survey results prove that tourists are satisfied with the effect of the new exhibition hall. Tourists want to add a distinctive form of cultural experience to the exhibition hall. They are willing to accept digital exhibition halls incorporating MR technology and are very happy to participate in the exhibition method of image interaction. This shows that the use of image interactive display based on MR technology in the layout of the exhibition hall is recognized by people and has strong feasibility. This article has reference significance for the digital upgrade of the exhibition hall and the development of the cultural tourism industry.

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Depth Estimation Method for Monocular Camera Defocus Images in Microscopic Scenes

Cited by 60 publications

References 37 publications

The Fusion Application of Deep Learning Biological Image Visualization Technology and Human-Computer Interaction Intelligent Robot in Dance Movements

The Fusion Application of Deep Learning Biological Image Visualization Technology and Human-Computer Interaction Intelligent Robot in Dance Movements

The Game and Impetus Analysis of Ecological Enrichment of Corporate Citizens

Interactive Display of Images in Digital Exhibition Halls under Artificial Intelligence and Mixed Reality Technology

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