Coupling 3D Liquid Simulation with 2D Wave Propagation for Large Scale Water Surface Animation Using the Equivalent Sources Method

Schreck, Camille; Wojtan, Chris

doi:10.1111/cgf.14478

Cited by 7 publications

(5 citation statements)

References 48 publications

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“…With the continuous development of 3D technology, this technology is not only widely used in film and television but also appears frequently in the field of games and advertising. 16,17 Figure 2 shows the 3D scene management:…”

Section: Overview Of 3d Animationmentioning

confidence: 99%

“…In 3D film and television pictures, each scene has its own rules, and each picture is under the control of the system. With the continuous development of 3D technology, this technology is not only widely used in film and television but also appears frequently in the field of games and advertising 16 , 17 Figure 2. shows the 3D scene management:…”

Section: Computer-aided 3d Animation Image Design and Image Enhanceme...mentioning

confidence: 99%

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(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

Zhang

2022

J. Electron. Imag.

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Computer-aided technology is a system of personal confidential interaction between computer and users under the guidance of people. Due to the continuous development of computer technology, this technology has been used in many fields. Computer-aided design is the use of computer systems to assist designers in engineering or product design. It is a technology to achieve the best design effect. Three-dimensional (3D) animation is not limited by time and space. It uses various forms of expression to express complex and abstract program content, scientific principles, and abstract concepts in centralized and simplified forms. The creative feature of animation is that the author does not use the advanced 3D technology to present the real world to the audience. Here, we aim to study the 3D animation image design and image enhancement based on computer-aided technology, hoping to make the 3D animation more realistic and make the film and television picture clearer with the help of computer-aided technology. We expound the current situation of 3D graphics research. We analyze the current development of the 3D animation industry. We propose an extreme value constraint based on spatial variation and a convolution algorithm based on learning a ringing images. The experimental results show that after Retinex method processes the image, the matching feature points of the target image in the scale-invariant feature transformation algorithm are 55. The correct matching rate of feature points after homomorphic filtering is 0.85. The number of correct matching points of the image processed by Retinex method changes greatly, and the change of homomorphic filtering is small.

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Section: Overview Of 3d Animationmentioning

confidence: 99%

Section: Computer-aided 3d Animation Image Design and Image Enhanceme...mentioning

confidence: 99%

(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

Zhang

2022

J. Electron. Imag.

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“…As the network deepens, the learned features become more and more complex [5]. CNN can process one-dimensional kernel packet audio, two-dimensional convolutional image and three-dimensional convolutional video [6]. CNN consists of the following main parts:…”

Section: Hierarchical Structure Of Deep Cnnmentioning

confidence: 99%

Deep Convolution Neural Network in Remote Sensing Monitoring of Water Source Pollution Sources

2022

WPPCP

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In recent years, the eutrophication of Lake Reservoir type drinking water source areas has become increasingly prominent, posing a threat to people's health and sustainable socio-economic development, and preventing and controlling Lake Reservoir pollution is extremely urgent. Only by qualitative identification and quantitative analysis of the pollution sources of lake reservoir type water sources and tracing back to the main sources of pollutants can the main contradictions and key cruxes of drinking water source pollution be clarified, scientific, effective and targeted comprehensive prevention and control countermeasures be put forward, and the safety guarantee ability and level of drinking water source areas be improved. Therefore, this paper establishes a water quality monitoring system based on the depth convolution neural network (CNN), obtains the remote sensing image of a lake by combining remote sensing technology, corrects the remote sensing image pixels through CNN algorithm, and helps to monitor the water quality of the lake area by analyzing the distribution of suspended solids, TP, TN in the image.

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“…The rapid development of animation has always been on the very basis of Artificial intelligence and computer technology in the era of digital animation, the emergence of 2D and 3D animation, and virtual animation [1]. Character animation is a comprehensive and heterogeneous form with applications in education, entertainment, medical and military contexts, not forgetting the newest and most innovative fields of immersive technologies, like augmented and virtual reality [2]. The diversity and complexity of the subject often make it difficult to identify differences, advancements and challenges, such as autonomy, creative freedom, control, computational cost, and so on [3].…”

Section: Introductionmentioning

confidence: 99%

Research on 2D Animation Simulation Based on Artificial Intelligence and Biomechanical Modeling

Fangming Dai,

2024

EAI Endorsed Trans Perv Health Tech

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Animation techniques have been completely transformed by the union of Artificial Intelligence (AI) and biomechanical modeling, particularly in 2D animation. This study looks at a combination of AI and biomechanics to address the challenges of simulating 2D animation. Current approaches in 2D animation often struggle to achieve lifelike and fluid movements, especially when representing complex motion or interaction. These traditional techniques rely on manual keyframing or physics simulation, which may be time-consuming and do not provide the rich detail needed for realism in animations. To meet these aspects, this study suggested 2D animation using Artificial Intelligence with Biomechanical Modeling (2D-AI-BM). Our approach thus harnesses Deep Neural Network (DNN) for moving forecasts and improvement using biopsychological principles to help us imitate natural human actions better. In addition to character animation, it could apply to interactive storytelling and educational simulations. As a result, animators get more control over motion generation while drastically reducing the necessity for manual intervention through this fusion of AI and biomechanics, which smoothens the production pipeline for animations. This paper considers several important metrics to evaluate the proposed approach’s effectiveness, including user satisfaction, computational efficiency, motion smoothness and realism. Comparative studies with classical animation methods showed that the method generates realistic movements on 2D characters while saving time during production. The numerical findings exemplify that the recommended 2D-AI-BM model improves an accuracy rate of 97.4%, computational efficiency ratio of 96.3%, motion control ratio of 95.4%, pose detection ratio of 94.8% and scalability ratio of 93.2% compared to other popular techniques.

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Coupling 3D Liquid Simulation with 2D Wave Propagation for Large Scale Water Surface Animation Using the Equivalent Sources Method

Abstract: Figure 1: A dragon springing out of water. Our method couples a FLIP fluid simulation and 2D wave propagation. The dotted ellipse shows the limit between the two.

Cited by 7 publications

References 48 publications

(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

Deep Convolution Neural Network in Remote Sensing Monitoring of Water Source Pollution Sources

Research on 2D Animation Simulation Based on Artificial Intelligence and Biomechanical Modeling

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