首页> 外文会议>International Symposium on Intelligence Computation amp; Applications(ISICA'2005); 20050404-06; Wuhan(CN) >Research for Generating Min-Area Convex Quadrangle Encasing Box for Closed Contour Based on Genetic Algorithm
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Research for Generating Min-Area Convex Quadrangle Encasing Box for Closed Contour Based on Genetic Algorithm

机译:基于遗传算法的封闭轮廓最小面积凸四边形箱的生成研究

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In many engineering applications, it is necessary to calculate the min-area encasing box of a closed contour. The problem about encasing box is one of the basic problems in computing geometry. It is widely used in many engineering applications such as image processing, pattern recognition, VLSI and CAD. Currently, the encasing box adopted in designing path, collision detection and real-roaming is rectangle encasing boxes such as AABB(Axis Aligned Bounding Boxes) and OBB(Oriented Bounding Boxes). How to construct the min-area quadrangle encasing box is always the research hotspot in the research relating encasing box. Based on GA(genetic algorithm), an algorithm for generating the min-area convex quadrangle encasing box for arbitrary closed contour is investigated and hence put forward in this paper. Moreover, the algorithm is convergent in probability. The encasing boxes based on the three algorithms are compared in the paper. The encasing box generated by GA is better than those constructed by AABB and OBB. Practical application suggests its usefulness and efficiency.
机译:在许多工程应用中,有必要计算闭合轮廓的最小面积包围盒。包围盒的问题是计算几何的基本问题之一。它被广泛用于许多工程应用中,例如图像处理,模式识别,VLSI和CAD。目前,在设计路径,碰撞检测和真实漫游中采用的包围盒是矩形包围盒,例如AABB(轴向对准包围盒)和OBB(定向包围盒)。如何构造最小面积的四边形包装箱一直是相关包装箱研究中的研究热点。基于遗传算法,研究了一种针对任意闭合轮廓线生成最小面积凸四边形框的算法,并提出了一种算法。而且,该算法在概率上是收敛的。本文比较了基于三种算法的包装盒。 GA产生的包装盒比AABB和OBB构造的包装盒更好。实际应用表明其有用性和效率。

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