基于方向采样的复杂物体触觉渲染

Huagen Wan, Xiaoxia Han, Zhihua Zhou
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引用次数: 0

摘要

触觉渲染是世界范围内研究领域日益关注的问题。然而,对复杂物体进行触觉渲染是一个巨大的挑战。提出了一种基于方向采样的触觉绘制算法。我们提出了一种用于触觉渲染的目标物体的中间表示——触觉盒,它对每个样本方向射线与目标物体的相交数据进行编码。利用触觉盒,可以通过多次线盒相交测试和双线性插值得到线段与目标物体之间的接触信息,并可直接用于评估反馈力。实验结果表明,该算法在运行阶段对模型复杂度不敏感,工作效率高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Haptic rendering of complex objects via directional sampling
Haptic rendering is a growing concern of research community worldwide. However, it is a great challenge to haptically render complex objects. In this paper, a novel haptic rendering algorithm via directional sampling is proposed. We propose haptic box, an intermediate representation of target objects for haptic rendering, which encodes the intersection data of each sample directional ray with the target object. With haptic box, the contact information between a line segment and the target object can be derived by several line-box intersection tests and bilinear interpolations, and can be directly used to evaluate the feedback force. Experimental results show that our algorithm is insensitive to model complexity at the run-time stage and works both effectively and efficiently.
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