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One Tree Forest

2018/03

The gaming industry always faces the continual challenges of striking balance between real-time computing performance and graphics presentation quality. This is particularly apparent for a game with vast wildlands scenes which demands for a large number of tree models.

 

From the visual perception perspective, this study investigated whether people can distinguish trees with uniqueness of various features (relative orientation, density of branches, leaf color) using the same tree model in a virtual environment. During the controlled experiment, quantitative research methods were used, which measured the statistics of tree variations. The results suggested that our methods successfully contributed a strategy in saving graphic resources without user consciousness and maintaining high graphics performance.

 

Role in the team:

Visual Designer

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