A  Method of Stereoscopic Display for Dynamic 3D Graphics on Android Platform

Chen, Shihong; Jiu, Zi

doi:10.13052/jwe1540-9589.195612

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…In the design and characterization of 3D animated characters, flexibility of facial expressions is an important content to show the characteristics of 3D animated characters and, thus, to enhance authenticity of the whole 3D animated characters [ 5 ]. The facial expression generation of 3D animation characters relies on the facial expression features of real faces, and the generation process is relatively complicated [ 6 ]. Through years of research by researchers and technical experts, a great breakthrough has been made in the processing of animation stylization, and it has been developed to date.…”

Section: Introductionmentioning

confidence: 99%

3D Animation Automatic Generation System Design Based on Deep Learning

Cao

Wan

Shi

2022

Computational Intelligence and Neuroscience

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In the field of 3D animation design and generation, the expression generation method of animation is not obvious due to the lack of image details, which leads to the lack of realism of the generated animation expressions. In order to solve this problem, a deep learning-based animation character expression generation method is proposed. The method, based on the real facial expression images, uses improved deep learning to design cascade classifiers, extracts facial expression feature images from real images, softens image edges, and enhances feature details. The content and style of images are unified, the loss function is designed from the content constraints and style constraints, the judgment network is optimized, and the feature information is fused under the constraints of the loss function to generate the facial expressions of animated characters. The experimental results show that the design based on the feature point location of the improved deep learning expression generation method is accurate, the Pearson correlation coefficient between the input image and the generated image is high, the root mean square error is small, and the realism of the generated facial expression is enhanced.

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Section: Introductionmentioning

confidence: 99%

3D Animation Automatic Generation System Design Based on Deep Learning

Cao

Wan

Shi

2022

Computational Intelligence and Neuroscience

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“…e three-dimensional rotation operation requires defining the corresponding rotation axis. First, the three-dimensional zaxis rotation needs to be obtained using equation (3). Next, the secondary coordinate is obtained using equation ( 4): 2 Scientific Programming…”

Section: Verx Processing and 3dmentioning

confidence: 99%

“…In computer science, the scene visual understanding is one of the most widely used technologies in the field of art design. Visual comprehension of scene allows the use of computer to replace human eyes and brain to perceive, recognize, and understand 3D scenes and objects in the real world [3,4]. It is used to analyze the complex distribution of objects in the scene's image by combining with natural language processing for accurately describing the information obtained in a reasonable manner.…”

Section: Introductionmentioning

confidence: 99%

Research on Visual Image Texture Rendering for Artistic Aided Design

Xiao

2021

Scientific Programming

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The rendering effect of known visual image texture is poor and the output image is not always clear. To solve this problem, this paper proposes a visual image rendering based on scene visual understanding algorithm. In this approach, the color segmentation of known visual scene is carried out according to a predefined threshold, and the segmented image is processed by morphology. For this purpose, the extraction rules are formulated to screen the candidate regions. The color image is fused and filtered in the neighborhood, the pixels of the image are extracted, and the 2D texture recognition is realized by multilevel fusion and visual feature reconstruction. Using compact sampling to extract more target features, feature points are matched, the coordinate system of known image information are integrated into a unified coordinate system, and design images are generated to complete art-aided design. Simulation results show that the proposed method is more accurate than the original method for extracting the information of known images, which helps to solve the problem of clearly visible output images and improves the overall design effect.

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“…The data structure of the remote device is used to send the request to the remote device based on the TCP protocol. And then the back-end sends the obtained data to the front-end, and the terminal processes the received data information [17].…”

Section: Communication Designmentioning

confidence: 99%

Structure and Control Principle of a Remote-Control System for Mobile Terminal Electromechanical Equipment Using an Android Platform

2021

IJOMAM

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In this paper, the structure and control principle of the remote-control system of mobile terminal electromechanical equipment equipped with an Android platform was explored. In the remote control of the intelligent system, the requirement for the mobile platform is relatively high. Therefore, a new mobile remote-control system is selected, and it is mainly characterized by using the Android platform as the terminal and wireless communication technology to control remote electromechanical devices; a mathematical model for DC (Direct Current) motor is established, and Matlab simulation is conducted to design PID (Proportional Integral Derivative) of the remotecontrol system; finally, the system output data are submitted to the host computer. If the data are wrong, the mobile terminal is established to perform real-time monitoring of the equipment. The internal components of the remote monitoring system include server, client, device information transmission module and motion control module. Subsequently, the function of the system is elaborated in detail, by connecting the Android mobile intelligent terminal client with remote electromechanical devices. The analysis shows that the design of the control system is reasonable and the Android mobile intelligent terminal successfully receives the video, which can be played smoothly. Besides, it can stably upload the data of various electromechanical devices, and control them anytime and anywhere, solving the problems of the wide distribution of electromechanical devices and difficult monitoring. The system is simple in operation, low in cost, and easy to assemble. In future research, a more efficient DC motor can be selected to improve the efficiency of the control system.

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A Method of Stereoscopic Display for Dynamic 3D Graphics on Android Platform

Cited by 7 publications

References 8 publications

3D Animation Automatic Generation System Design Based on Deep Learning

3D Animation Automatic Generation System Design Based on Deep Learning

Research on Visual Image Texture Rendering for Artistic Aided Design

Structure and Control Principle of a Remote-Control System for Mobile Terminal Electromechanical Equipment Using an Android Platform

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