Restoration and Design of Ice Sculpture Structure following Multivision Sensor and Three‐Dimensional Reconstruction Technology

Liu, Zhuo; Zhang, Qi

doi:10.1155/2021/8069171

Cited by 5 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the process of audience-oriented visual communication design for animated films, the image edges will change dramatically in the process of outlining the graphic images of animated characters, and in order to be able to better recognize the image edge data, the Sobel edge operator needs to be introduced [30][31]. Let the grayscale function of the animated graphic image be ( , ) f x y , where , xy is the horizontal and vertical coordinates where the pixel is located, and x G represents the gradient in the x -direction, which can be obtained:…”

Section: Animated Movie Image Edge Data Optimizationmentioning

confidence: 99%

Audience-oriented Aesthetic and Creative Research on Animated Films Based on Visual Communication Design

Yan,

Jiang,

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

Animation movie conveys the connotation of animation to the audience through visual symbols, and the audience-oriented animation movie improves the aesthetic ability and diversifies the creative design. This paper starts with the analysis of visual communication design technology in animated films, analyzes the principle of visual communication design of animated images, and realizes the production of animated films by using multi-visual 3D animation modeling and texture rendering technology. The Sobel edge operator is introduced to optimize the image edge data of animated movies, so as to improve the image quality of animated movies. The development trend of visual communication design is discussed, and the aesthetic characteristics of visual communication design for animated films and the mutual influence between them are analyzed. In order to explore the aesthetic expression and creative design methods of animated films, quantitative analysis of data was conducted using current animated film works. The results show that the bit code rate in the full intra-frame coding mode of optimized production of animated images using visual communication technology is −1.87%, the highest quality factor is around 0.95, and the variation of smoothness is kept between 80% and 90%. Audience-oriented visual communication design of animated films should be based on the utility of information conveyance and rhythmic rhyme design and prompt the creative design of animated films through association, whimsy, metaphor, style and other ways.

show abstract

Section: Animated Movie Image Edge Data Optimizationmentioning

confidence: 99%

Audience-oriented Aesthetic and Creative Research on Animated Films Based on Visual Communication Design

Yan,

Jiang,

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

“…e research results show that this method can design sculptures from multiple angles and dimensions, and it has higher efficiency and higher scalability. Liu and Zhang [17] use visual sensing technology and three-dimensional reconstruction technology to study the structure and restoration technology of ice sculptures, and it also uses these two technologies to explore the artistic characteristics contained in ice sculptures. Ice sculptures designed based on 3D reconstruction technology and visual sensing technology are compared and analyzed with artificially tested sculptures.…”

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

View full text Add to dashboard Cite

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.

show abstract

Research on 3D Animation Scene Plane Design Based on Deep Learning

Liu

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

At present, most graphic design methods of 3D animation scenes only get a small part of 3D animation scenes, and all of them are in a 3D coordinate system, with observers as the core, so it is difficult to express the depth information of 3D animation scenes. This project intends to study a plane design method for 3D animation scenes based on deep learning. CNN (Convolutional Neural Network) is used to build a multi-view 3D animation scene generation network, and 3D geometry and structure of objects are reconstructed through multiple or a group of images. On this basis, the feature extraction method of 3D animation scenes is studied, and the collaborative learning model of multiple networks is established to improve the modeling accuracy of 3D animation scenes. The experimental results show that the network model is superior to the method based on multi-view and 0-1 voxel in detecting retrieval performance, and the accuracy rate can reach 91.725%. The multi-view 3D animation scene generation method in this paper has achieved better results than the current advanced methods, which proves that the multi-view feature fusion network proposed in this paper is a more reasonable method to fuse multi-view image features.

show abstract

Restoration and Design of Ice Sculpture Structure following Multivision Sensor and Three‐Dimensional Reconstruction Technology

Cited by 5 publications

References 26 publications

Audience-oriented Aesthetic and Creative Research on Animated Films Based on Visual Communication Design

Audience-oriented Aesthetic and Creative Research on Animated Films Based on Visual Communication Design

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

Research on 3D Animation Scene Plane Design Based on Deep Learning

Contact Info

Product

Resources

About