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Automatic global path generation for large-scale 3D scene exploration

International Journal of Modeling, Simulation, and Scientific Computing 2020年第6期11卷 45-77页

作者： Li Che F.J.Kang Army Aviation Institute Beijing 100123P.R.China School of Marine Science and Technology Northwestern Polytechnical University Xi’an 710072 P.R.China

Large-scale virtual scene exploration is still a challenging task. The novice users caneasily get distracted and disorientated, which results in being lost in space. Assistedcamera control technology is the most effective solution for virtual environment exploration problems which requires viewpoint computation and path planning. In this paper,a novel approach for large-scale virtual scene based on viewpoint scoring is ***, the scene was adaptively divided into several meaningful and easily analyzedsubregions according to the optimal view distance criterion. Second, a novel viewpointscoring method based on visual perception and information entropy fusion was developed for optimal viewpoint determination and greedy N-Best viewpoint selection algorithm was utilized for visual perceptibility calculation. Then evolutionary programmingapproach for the Traveling Salesman problem was applied for intra-subregion and intersubregion exploring path optimization. Finally, the Cubic Hermite Curve was introduced to smoothen the inflection point on the exploration path. The experimental resultsdemonstrate that the proposed method can effectively generate an automatic smooth,informative, aesthetic and non-intersecting path, with the characteristics of good exploring comfort, strong immersion and high scene information perception.

关键词： Automatic exploration visual perception viewpoint scoring N-Best viewpoint path optimization large-scale virtual scene

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