Evaluation of the Characteristics of X-Ray Excitation under the Electron-Probe Effect Using 2D and 3D Modeling by the Monte Carlo Method

Татаринов, В. В.; Кузаков, А. С.

doi:10.1134/s1027451020020366

Cited by 2 publications

(2 citation statements)

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“…The most commonly used activation function is the logistic function, that is, d g ðxÞ = d h ðxÞ = 1/½1 + e −x ; w g and w h are the weights of the encoder and the decoder; and b g and b h are the assumptions of the presentation layer and the reconstruction layer, respectively. The purpose of optimizing autoencoder training is to make the reconstruction t as close to the input x as possible, that is, to minimize the error function Kðx, tÞ [26,27]. The reconstruction error function is a 3 Journal of Sensors measure of the difference between the input x and the automatic reconstruction t. The learning goal of AE is to minimize the reconstruction error function corresponding to the input training set U:…”

Section: Character Facial Feature Extractionmentioning

confidence: 99%

[Retracted] Design of 3D Modeling Face Image Library in Multimedia Film and Television

Lei

Kim

2021

Journal of Sensors

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The development of 3D modeling technology has promoted the development of the multimedia film and television industry. This article is aimed at studying the design of 3D modeling facial image library in multimedia film and television, at providing a more comprehensive facial image library for the multimedia film and television industry, at breaking the shackles of the traditional film and television industry with 3D technology, and at continuously surpassing traditional film and television media forms. This article deeply explores the background development of multimedia film and television and the characteristics of the development of new media. Starting from 3D technology, it extracts facial features of characters, transforms image data through deep autoencoders, and uses local binarization mode to perform the original facial image is subjected to texture feature extraction. In this paper, a number of experimental subjects were selected, and the subjects were photographed from the left, front, and right from multiple angles. Through the pinhole camera projection imaging process, the internal and external parameters of the camera were adjusted. In the process of 3D image construction, the image is first selected for feature detection, then the corresponding vector information and geometric conditions are matched to construct a 3D matrix, and the facial structure image is obtained by triangulation. This article compares the 3D production software on the market and selects the Maya platform suitable for building this system. The global constraint information is obtained by training some sample images. When searching the test image, find the appropriate feature point position according to the structural matching degree of the local image. When each search is completed, the global information will be used for constraint, so as to output reasonable feature information. The average residual range of the human face image constructed in this paper is 0.25-0.45, and the maximum residual error does not exceed 4.0. The experimental method in this paper has good stability and robustness. Using the COM transmission model can make experimenters not need to think too much about the underlying details. This face animation-driven simulation scheme can achieve more vivid facial expressions.

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Section: Character Facial Feature Extractionmentioning

confidence: 99%

[Retracted] Design of 3D Modeling Face Image Library in Multimedia Film and Television

Lei

Kim

2021

Journal of Sensors

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“…This method is calculated based on the positions of a midpoint and two vertices of this edge so that the minor position of these three points is the position of 𝑣 𝑖0 according to formula (6) [9].…”

Section: Detailed Selection Of the Modelmentioning

confidence: 99%

Application and Optimization of Mesh Simplification in 3D virtual Reality Scene in a High-performance Environment

He,

Wang,

Zhu

et al. 2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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Real-time 3D imaging and display technology in virtual reality technology has become a key research object; However, modern computer work has been dramatically improved compared with the past; it still cannot meet the requirements of drawing realtime complex scenes and objects. Level of detail modeling technology is the most promising technology for 3D images, which is to develop a set of models with different levels of polygonal information from the same original model describing an event or object. Based on the above background, this article puts forward the application of 3D modelingbased LOD technology in virtual reality as the research goal, studies the concept of LOD technology in detail, analyzes the QEM algorithm, and then researches and optimizes the QEM algorithm. According to the experimental research in this article, the basic algorithm used in simplifying the initial model can simplify the model to a certain extent, but the data could be better. Using an immune genetic algorithm to facilitate nodes has succeeded dramatically, saving nearly 50% of nodes and about 90% of the time based on the most straightforward optimization. However, in this case, the model cannot display details.

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Evaluation of the Characteristics of X-Ray Excitation under the Electron-Probe Effect Using 2D and 3D Modeling by the Monte Carlo Method

Cited by 2 publications

References 20 publications

[Retracted] Design of 3D Modeling Face Image Library in Multimedia Film and Television

[Retracted] Design of 3D Modeling Face Image Library in Multimedia Film and Television

Application and Optimization of Mesh Simplification in 3D virtual Reality Scene in a High-performance Environment

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