Research on digital sculpture design based on virtual reality technology

Kun Zhang

doi:10.1117/12.2671830

16 March 2023 Research on digital sculpture design based on virtual reality technology

Kun Zhang

Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125930P (2023) https://doi.org/10.1117/12.2671830
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China

Abstract

Sculpture design and creation is a highly complex art form, requiring designers to have high artistic quality, innovation and practical ability. Traditional sculpture design can meet the needs of people for sculpture design and use at a certain stage, but it requires more links from the initial conception of the designer to the final presentation of the work. The efficiency of sculpture design is greatly limited, and the production process of the work consumes more materials. For this reason, this paper establishes a digital sculpture design method based on VR technology. By analyzing the application basis of VR technology in digital sculpture design, a sculpture design model construction method based on eye-movement data collection and feature extraction is established. Secondly, the feasibility of VR technology application is further verified by analyzing the application advantages of VR technology application compared with traditional sculpture design. In addition, this paper establishes a VR-based digital sculpture design and construction process, and analyses the beneficial effects of VR technology on sculpture design. The research in this paper verifies the effectiveness and feasibility of VR sculpture design, which contributes to the diversified development of sculpture design.

Citation Download Citation

Kun Zhang "Research on digital sculpture design based on virtual reality technology", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125930P (16 March 2023); https://doi.org/10.1117/12.2671830

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available