| 引用本文: | 卞燕山,邹鹏,于荣欢,等.近界视景导航中森林场景加速绘制.[J].国防科技大学学报,2014,36(6):31-36.[点击复制] |
| BIAN Yanshan,ZOU Peng,YU Ronghuan,et al.Accelerating rendering of the forest scene in the near-ground visual navigation[J].Journal of National University of Defense Technology,2014,36(6):31-36[点击复制] |
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| 近界视景导航中森林场景加速绘制 |
| 卞燕山1, 邹鹏2, 于荣欢2, 吕雅帅2 |
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(1.装备学院 研究生管理大队，北京 101416;2.装备学院 复杂电子系统仿真实验室，北京 101416)
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| 摘要: |
| 作为近界视景导航中典型地物，三维几何树模型能提高虚拟场景视觉精度，增强场景真实感，但会导致大规模森林场景绘制效率降低，从而降低视景导航精度。为提高绘制效率以确保视景导航精度，并提高场景真实感，采用布告板云算法构建了基于视距的多分辨率树模型，针对算法在近界视景导航应用中存在的问题进行了改进。为进一步提高近界特别是贴地飞行时高动态视点下视景导航精度，根据有限视域、威胁区域以及视觉冗余等特点，提出了一种基于高动态视点的加速绘制算法。通过实验对比分析，算法大幅提高了场景绘制效率，增强了场景视觉质量，提高了虚拟场景导航精度。 |
| 关键词: 视景导航 布告板云 贴地飞行 视域 视觉冗余 |
| DOI：10.11887/j.cn.201406006 |
| 投稿日期：2014-04-09 |
| 基金项目:国家自然科学基金资助项目（61202129）；国家科技重大专项资助项目（2013ZX01045-004-002） |
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| Accelerating rendering of the forest scene in the near-ground visual navigation |
| BIAN Yanshan1, ZOU Peng2, YU Ronghuan2, LYU Yashuai2 |
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(1.Department of Graduate Management, Equipment Academy, Beijing 101416, China;2.Science and Technology on Complex Electronic System Simulation Laboratory, Equipment Academy, Beijing 101416, China)
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| Abstract: |
| As the typical ground objects in near-ground visual navigation application, the three-dimensional geometrical models of trees can improve the visual precision and the reality of virtual scene. However, it may lead to the decrease in rendering efficiency of a wide forest scene and result in the loss of navigation precision. In order to boost the rendering efficiency to ensure the navigation precision and maintain the sense of reality, billboard clouds algorithm was employed to establish the multi-resolution tree models based on view distance and its disadvantages existing in near-ground visual navigation application were improved. To improve the visual navigation precision with high dynamic viewpoint in the near-ground especially the nap-of-the-earth flight further, an accelerating rendering algorithm based on high dynamic viewpoint was proposed in accordance with the characteristics of limited horizon, threatened area and redundant vision. The contrast analysis of experiments testifies that the proposed algorithm improves the rendering efficiency, enhances the vision quality of the scene and raises the navigation precision of virtual scene. |
| Keywords: visual navigation billboard clouds nap-of-the-earth flight field of view visual redundancy |
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