基于z缓冲区的网络空间碰撞与目标检测技术评价

H. Yamachi, Yasuyuki Souma, Y. Kambayashi, Y. Tsujimura, Tomoaki Iida
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引用次数: 3

摘要

提出了一种检测网络空间中物体和几何物体碰撞的新技术。该技术在渲染场景中使用z缓冲区的深度值。我们使用正交投影进行碰撞检测。我们的方法使用两个深度值集。一个是通过渲染从传感器对象到目标点的网络空间来获得的。该集合没有传感器对象的深度值。另一种是通过仅在相反方向上渲染传感器对象而获得的。从这两个深度值集合中,我们获得每个像素的传感器物体与其他物体之间的距离。这种技术只需要一个或两个渲染过程,它是独立于物体的形状,变形或运动的复杂性。在本文中,我们评估了这种方法在我们目前使用的gpu上的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of a Technique for Collision and Object Detection with the Z-buffer in Cyber Space
We propose a new technique to detect objects and collisions of geometric objects in cyber space. This technique uses depth values of the Z-buffer in rendering scene. We use the orthographic projection for collision detection. Our method uses two depth value sets. One is obtained through rendering the cyber space from the sensor object toward a target point. This set does not have the depth values of the sensor object. Another one is obtained through rendering only the sensor object in the reverse direction. From these two depth value sets, we obtain the distance between the sensor object and others for each pixel. This technique requires only one or two rendering processes and it is independent from the complexity of the object's shape, deformation or motion. In this paper we evaluate the efficiency of this method on the GPUs we currently use.
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