作者: Hans Raj Tiwary , Frank Staals , Maarten Löffler , Rodrigo I. Silveira , Maria Saumell
DOI:
关键词: Cartography 、 Computer science 、 High complexity 、 Position (vector) 、 Terrain 、 Maxima and minima 、 Real word 、 Low complexity 、 Viewshed analysis 、 Polyhedral terrain
摘要: An important task when working with terrain models is computing viewsheds: the parts of visible from a given viewpoint. When modeled as polyhedral terrain, viewshed composed union all triangle that are The complexity can vary significantly, constant to quadratic in number vertices, depending on topography and viewpoint position. In this work we study new topographic attribute, \emph{prickliness}, measures local maxima possible perspectives. We show prickliness effectively captures potential 2.5D terrains have high viewsheds, present near-optimal algorithms compute 1.5D terrains. also report some experiments relating real word size their complexity.