Research on Stereo Image Modeling and Application in Coffee Machine Modeling Design
Authors
Wenming Liu1, *, Zhenyu Wang1, *
1School of Design and Art, Shenyang Jianzhu University, Shenyang, China
*Corresponding author.
Email: liuwenming@sjzu.edu.cn
*Corresponding author.
Email: 296341154@qq.com
Corresponding Authors
Wenming Liu, Zhenyu Wang
Available Online 17 December 2022.
- DOI
- 10.2991/978-94-6463-046-6_64How to use a DOI?
- Keywords
- Image Modeling; Coffee Machine; Design Practice; Design Efficiency
- Abstract
Through the research on the current situation and development trend of coffee machine industry, combined with the relevant elements of coffee machine modeling design, combined with the application status of stereo image modeling, an automatic coffee machine modeling is designed by using computer modeling software. The computer modeling tool provides a more efficient design means for the design of small household appliances, effectively reduces waste of time and resources caused by design deviation, shortens the design cycle, and better meets the needs of consumers and the market.
- 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 - Zhenyu Wang PY - 2022 DA - 2022/12/17 TI - Research on Stereo Image Modeling and Application in Coffee Machine Modeling Design BT - Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) PB - Atlantis Press SP - 547 EP - 553 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-046-6_64 DO - 10.2991/978-94-6463-046-6_64 ID - Liu2022 ER -