Efficient occlusion-free visualization for navigation in mountainous areas

  • Authors:
  • Hao Deng;Liqiang Zhang;Chunming Han;Yingchao Ren;Liang Zhang;Jonathan Li

  • Affiliations:
  • School of Geosciences and Info-Physics, Central South University, Changsha 410083, China and State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;Department of Geography & Environmental Management, Faculty of Environment, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada N2L 3G1

  • Venue:
  • Computers & Geosciences
  • Year:
  • 2013

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Abstract

In three-dimensional (3D) navigation, if mountainous terrain is displayed based on ordinary perspective projection, viewers often find that the features of interest are occluded, which prevents an overview of the features. This paper presents an approach for the automatic generation of consecutive non-perspective views of mountainous terrain. The proposed method can generate views without occlusions of important features, and allows viewers to navigate the landscape. The ray-tracing technique is employed to detect occlusions. The local elevations that occlude important features are transformed, while the resemblance and realism of the 3D landscape are maintained by solving global optimization problems. The approach maximizes the visibility of the features of interest on the deformed terrain. It also maintains a good balance between the elimination of occlusion and the preservation of resemblance. The occlusion-free visualization framework satisfies the demand for navigation and tour guidance in mountainous areas at interactive frame rates.