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Effective training in Virtual Reality (VR) relies heavily on the creation of variable scenarios to mimic real-life situations. As trainees become accustomed to static environments, the need for dynamic models becomes crucial. The book addresses the challenges of generating these models in VR applications, emphasizing the growing demand for innovative methods in model acquisition, enhancement, optimization, and adaptation, especially with advancements in computational power enabling more complex virtual environments.
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Surgical Scene Generation for Virtual Reality-Based Training in Medicine, Matthias Harders
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- Année de publication
- 2016
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