Research on Optimization of Portrait Sculpture Data Based on 3D Image and Mobile Edge Computing

Du, Junping

doi:10.1109/access.2020.3043010

Cited by 12 publications

(8 citation statements)

References 40 publications

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“…After determining the data optimization method, he built a portrait sculpture data optimization architecture through mobile edge computing technology. Finally, the efficiency and scalability of the sculpture data optimization method are verified by the multiangle and multidimensional simulation training test results [1]. Han designed a balanced motion development framework using edge computing technology.…”

Section: Related Workmentioning

confidence: 96%

The Application of Edge Computing Technology in Strength Training in Hip-Hop Training and Teaching under the Background of Artificial Intelligence and Internet of Things

Liu¹,

Ren

2022

Wireless Communications and Mobile Computing

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Edge computing technology in the context of artificial intelligence and the Internet of Things refers to the integration of network core processing functions, computing functions, storage functions, etc., on the basis of an open platform to one end source that is closer to objects or data. In this way, we can provide the closest and most convenient service. Edge computing technology takes the edge as the starting point to respond to network services and meet the basic requirements of real-time activities, intelligent applications, and information security and privacy in various industries. This paper applies edge computing technology in the context of artificial intelligence and Internet of Things to strength training in hip-hop teaching. First of all, this paper introduces the origin, classification, and concept of strength training of hip-hop and then introduces the edge computing technology. It includes edge computing structure, edge computing characteristics, and strength training algorithm based on edge computing. They are Thomas action, Fresno action, and rebound action. Finally, this paper compares the strength training assisted by edge computing technology with the strength training under traditional teaching and conducts strength tests on three basic hip-hop movements. The final experimental results show that edge computing technology is 1.69% higher than the strength training under traditional teaching in terms of the percentage of movement strength, which verifies its effectiveness and feasibility for hip-hop strength training.

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Section: Related Workmentioning

confidence: 96%

The Application of Edge Computing Technology in Strength Training in Hip-Hop Training and Teaching under the Background of Artificial Intelligence and Internet of Things

Liu¹,

Ren

2022

Wireless Communications and Mobile Computing

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“…e 3D modeling method based on closerange image sequences uses ordinary digital cameras as image acquisition equipment, which has low cost, high efficiency, and low labor intensity. It reflects the geometric details of the building surface and has realistic texture information, which provides an effective way to quickly, accurately, and truly reproduce 3D city information [1]. However, the ground close-up images often use wide baselines and large angles of intersection, resulting in serious occlusion, large perspective distortion between images, and problems such as single building texture and multiple repetitions, which bring difficulties to the extraction and matching of image information.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Sculpture 3D Modeling Method Based on Image Sequence

Liu

2021

Complexity

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This thesis first introduces the basic principles of model-based image sequence coding technology, then discusses in detail the specific steps in various implementation algorithms, and proposes a basic feature point calibration required in three-dimensional motion and structure estimation. This is a simple and effective solution. Aiming at the monocular video image sequence obtained by only one camera, this paper introduces the 3D model of the sculpture building into the pose tracking framework to provide initial depth information. The whole posture tracking framework can be divided into three parts, namely, the construction of the initial sculpture model, the posture tracking between frames, and the robustness processing during continuous tracking. In order to reduce the complexity of calculation, this paper proposes a new three-dimensional mesh model and a moving image restoration algorithm based on this model. At the same time, the influence of the intensity and direction factors in the scene is added, the simulation results are given, and the next step is discussed. The optimization work that needs to be done.

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“…rough these analyses, it can be seen that glass sculpture also carries important artistic value and historical and cultural information, which is also an important aspect of sculpture. Du [16] has found that there is a certain instability in the traditional sculpture production method, which is also closely related to the level of the sculptor. He used multi-coordinate CNC machine tool technology and computer three-dimensional modeling technology to study the production method of sculpture.…”

Section: Related Workmentioning

confidence: 99%

Interoperability Analysis between Traditional Chinese Sculpture and Painting Modeling from the Perspective of Big Data Management

Yang

2022

Mathematical Problems in Engineering

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Chinese traditional sculpture and painting have strong interoperability in terms of patterns, colors, and lines. Chinese sculpture and painting art are traditional Chinese works of art. The art of painting is often the basis for sculptural art. A good sculptural work of art often requires the pattern and color foundation of the painting. Moreover, Chinese traditional sculpture artworks often reflect certain historical information and humanistic spirit. Traditional artificial methods are often difficult to discover the intercommunication between cultural information between Chinese sculpture and painting. For the interoperability between sculpture and painting artworks, artists only rely on professional knowledge and aesthetic ability to discover some interoperability in patterns, colors, and lines, which is insufficient for understanding Chinese sculpture and painting. This study designs a novel hybrid CNN-LSTM method to study the interoperability of Chinese sculptures and paintings in terms of patterns, colors, lines, and cultural information. CNN can extract patterns, colors, and line features of Chinese paintings and sculptures. The cultural characteristics of Chinese sculptures have obvious temporal characteristics, which can be mined by LSTM technology. The research results show that the hybrid CNN-LSTM method has good feasibility and accuracy in studying the interoperability of traditional Chinese sculpture and painting. In terms of average error, the largest error is only 3.03% and this part of the error comes from the prediction of Chinese sculpture and painting cultural information. All other features of traditional sculpture and painting are predicted to be within 3%. For the prediction of color features, the error is only 1.13%. Prediction errors for patterns, colors, and lines are within acceptable limits.

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Research on Optimization of Portrait Sculpture Data Based on 3D Image and Mobile Edge Computing

Cited by 12 publications

References 40 publications

The Application of Edge Computing Technology in Strength Training in Hip-Hop Training and Teaching under the Background of Artificial Intelligence and Internet of Things

The Application of Edge Computing Technology in Strength Training in Hip-Hop Training and Teaching under the Background of Artificial Intelligence and Internet of Things

[Retracted] Sculpture 3D Modeling Method Based on Image Sequence

Interoperability Analysis between Traditional Chinese Sculpture and Painting Modeling from the Perspective of Big Data Management

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