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Effective training in Virtual Reality relies heavily on creating variable scenarios to mimic real-life situations, which can be challenging due to the complexity of model generation. As computational power increases, enabling the development of larger and more detailed virtual environments, there is a growing need for advanced techniques in model acquisition, enhancement, optimization, and adaptation to improve VR-based training applications.
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Surgical Scene Generation for Virtual Reality-Based Training in Medicine, Matthias Harders
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- 2008
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