<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to improve the technology based on the existing animation scene stitching modeling, the animation scene stitching modeling is further studied combined with Laplacian equation. The algorithm uses wavelet transform to decompose the animation scene, and then obtains the low-frequency coefficients and high-frequency coefficients of the animation scene; For the high-frequency coefficients, the splicing rules based on the comparison and screening of the convolution results of two Laplacian template operators are adopted; For the low-frequency coefficients, the splicing rule based on Laplace sharpness evaluation function and 8-neighborhood local variance is adopted; Finally, the inverse wavelet transform is used to obtain the diffuse scene mosaic modeling. The experimental results are analyzed combined with subjective and various objective evaluation methods. The results show that the improved algorithm has better splicing effect than the traditional splicing modeling. Animation scene splicing modeling has the advantages of rich edge information and high scene definition.</p>
</abstract>

In order to improve the technology based on the existing animation scene stitching modeling, the animation scene stitching modeling is further studied combined with Laplacian equation. The algorithm uses wavelet transform to decompose the animation scene, and then obtains the low-frequency coefficients and high-frequency coefficients of the animation scene; For the high-frequency coefficients, the splicing rules based on the comparison and screening of the convolution results of two Laplacian template operators are adopted; For the low-frequency coefficients, the splicing rule based on Laplace sharpness evaluation function and 8-neighborhood local variance is adopted; Finally, the inverse wavelet transform is used to obtain the diffuse scene mosaic modeling. The experimental results are analyzed combined with subjective and various objective evaluation methods. The results show that the improved algorithm has better splicing effect than the traditional splicing modeling. Animation scene splicing modeling has the advantages of rich edge information and high scene definition.

Animation VR scene mosaic modeling based on generalized Laplacian equation

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Animation VR scene mosaic modeling based on generalized Laplacian equation"}

In order to improve the technology based on the existing animation scene stitching modeling, the animation scene stitching modeling is further studied combined...

Animation VR scene mosaic modeling based on generalized Laplacian equation

Pubblicato online: 15 lug 2022

Pagine: 1675 - 1684

Ricevuto: 18 apr 2022

Accettato: 15 giu 2022

DOI: https://doi.org/10.2478/amns.2022.2.0156

Parole chiave
Laplacian, Animation scene, Splicing, 3D animation, Modeling

© 2023 Danping Chen, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Animation VR scene mosaic modeling based on generalized Laplacian equation

Pubblicato online: 15 lug 2022

Pagine: 1675 - 1684

Ricevuto: 18 apr 2022

Accettato: 15 giu 2022

DOI: https://doi.org/10.2478/amns.2022.2.0156

Parole chiaveLaplacian, Animation scene, Splicing, 3D animation, Modeling

© 2023 Danping Chen, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Parole chiave
Laplacian, Animation scene, Splicing, 3D animation, Modeling