1. Hybrid Intelligent Optimization Model for Animation Design in Virtual Reality and Augmented Reality.
- Author
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Zhang, Xi and Xue, Kexin
- Subjects
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AUGMENTED reality , *VIRTUAL design , *ALGORITHMS , *QUALITY standards , *SUNFLOWERS - Abstract
Both virtual reality (VR) and augmented reality (AR) technologies have been incorporated, resulting in a revolution in how people interact with their surroundings. This is because these technologies have shared the actual and virtual worlds. This study presents a novel technique for developing and optimizing animation characters that use virtual and AR technology. To realize this goal, animated designs, production, and realism will be developed further. By integrating virtual and AR, this endeavor aims to create immersive environments that present consumers with an experience that is both more intuitive and participatory. The suggested algorithm, sunflower whale with genetic optimization (SWGO), aims to construct high-quality animated characters time-efficiently. Algorithm offered in this paper, advantages can be gained where commitment is made toward efficient composition for good quality animated characters. The algorithm improves variables such as shape, action realism, real-time performance, and user interaction capture, all of which contribute to making the characters realistic and enabling smooth real-time interaction. Such effectiveness helps save time as well as unnecessary computation that is usually incurred while evolving characters, hence making the process cheaper without compromising on quality standards. This is accomplished by adding physical simulation and improving several variables, including shape, action authenticity, real-time performance, and user interaction. An extensive simulation study has been conducted to authenticate the success of this approach. These trials have significantly improved the effectiveness and quality of animation character creation and production. [ABSTRACT FROM AUTHOR]
- Published
- 2025
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