Collision Detection Using Bounding Boxes: Convexity Helps

نویسندگان

  • Yunhong Zhou
  • Subhash Suri
چکیده

We consider the use of bounding boxes to detect collisions among a set of convex objects in R d. We derive tight bounds on the ratio between the number of box intersections and the number of object intersections. Connrming intuition, we show that the performance of bounding boxes improves signiicantly when the underlying objects are all convex. In particular, the ratio is (1?1=d 1=2 box) if each object has aspect ratio at most and the set has scale factor box. More signiicantly, the bounding box performance ratio is (2(1?1=d) 3?1=d avg 1 3?1=d box n 1?1=d 3?1=d) if only the average aspect ratio avg of the n objects is known. These bounds are the best possible as we show matching lower bound constructions. The case of convex objects is interesting for several reasons: rst, in many applications, the objects are either naturally convex or are approximated by their convex hulls for convenience; second, in some applications, the penetration of convex hulls is interpreted as collision; and nally, the question is interesting from a theoretical standpoint. The proofs of our theorems are quite delicate, requiring several new ideas and non-trivial analyses.

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تاریخ انتشار 2000