Abstract
Complex renderings of synthetic scenes or virtual environments, once deemed impossible for consumer rendering, are becoming available for modern computer architecture. These renderings, due to their high-quality image synthesis, can take minutes to hours to render. Our work focuses on using Image-Based Rendering (IBR) techniques to manage and explore large and complex datasets and virtual scenes. The key idea for this research is to pre-process the scene and render key viewpoints on pre-selected paths inside the scene. We present new techniques to reconstruct approximations to any view along the path, which allows the user to roam around inside the virtual environments with interactive frame rates. We have implemented a pipeline for generating the sampled key viewpoints and reconstructing panoramic-based IBR models. Our implementation includes efficient two-step caching and pre-fetching algorithms, mesh simplification schemes and texture removal and database compression techniques. The system has been successfully tested on several scenes and satisfactory results have been obtained. An analysis and comparison of errors is also presented.
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Yang, L., Crawfis, R. (2006). A Practical System for Constrained Interactive Walkthroughs of Arbitrarily Complex Scenes. In: Bonneau, GP., Ertl, T., Nielson, G.M. (eds) Scientific Visualization: The Visual Extraction of Knowledge from Data. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30790-7_20
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DOI: https://doi.org/10.1007/3-540-30790-7_20
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