Research on the Technology of Constructing Scenic Spot Scene with Graphics and Images – Taking the Scene Modeling of Huiyan Peak Scenic Spot as an Example
Authors
Wenming Liu1, *, Lingli Quan1, *
1School of Design and Art, Shenyang Jianzhu University, Shenyang, China
*Corresponding author.
Email: liuwenming@sjzu.edu.cn
*Corresponding author.
Email: 1196893001@qq.com
Corresponding Authors
Wenming Liu, Lingli Quan
Available Online 17 December 2022.
- DOI
- 10.2991/978-94-6463-046-6_9How to use a DOI?
- Keywords
- Graphics and Image Technology; Scene Generation; 3D Modeling
- Abstract
By studying the development of graphics and image technology, analyzing the application status of computer three-dimensional modeling technology, combined with the current demand for scene modeling of scenic spots, this paper summarizes the relevant elements of computer-generated virtual scenic spot scene and carries out practical research, aiming to use computer graphics image technology provides digital empowerment for the development of the tourism industry in the “post-epidemic” era and activates new driving forces for the development of the tourism industry.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenming Liu AU - Lingli Quan PY - 2022 DA - 2022/12/17 TI - Research on the Technology of Constructing Scenic Spot Scene with Graphics and Images – Taking the Scene Modeling of Huiyan Peak Scenic Spot as an Example BT - Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) PB - Atlantis Press SP - 67 EP - 75 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-046-6_9 DO - 10.2991/978-94-6463-046-6_9 ID - Liu2022 ER -