Enhanced Realism in Animal Fur Simulation for Digital Conservation: A Physically-Based Rendering and Augmented Reality Approach
The rising popularity of ecotourism on the Tibetan Plateau has intensified the tension between wildlife conservation and economic development. Conventional wildlife displays often fail to achieve high-fidelity, non-invasive representations of animal morphology and typically lack immersive, interacti...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/14/8049 |
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Summary: | The rising popularity of ecotourism on the Tibetan Plateau has intensified the tension between wildlife conservation and economic development. Conventional wildlife displays often fail to achieve high-fidelity, non-invasive representations of animal morphology and typically lack immersive, interactive features, limiting public engagement in ecological protection. To address these limitations, this study presents a fur simulation algorithm based on the Texture Procedural Overlay Technique (TPOT), integrated with Augmented Reality (AR) technology, focusing on the endangered white-lipped deer in the Sanjiangyuan region. The proposed TPOT-based algorithm enhances the visual realism of fur through multi-layered procedural texturing and physical property fusion. Combined with an AR-driven interactive framework, it seamlessly integrates high-resolution 3D models into real-world environments, significantly improving user immersion and engagement. Comparative experiments demonstrate that the approach surpasses traditional static display fidelity and animation rendering efficiency methods. User feedback further validates its effectiveness for scientific research and environmental education. This work introduces an innovative technological solution for wildlife conservation on the Tibetan Plateau and provides a practical reference for applying digital technologies in ecotourism. |
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ISSN: | 2076-3417 |