Contact Surface Graph: A Data Structure for Efficiently Finding Contact-Rich Poses of Virtual Characters

Changgu Kang, Sung-Hee Lee
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Abstract

Rapidly advancing 3D scanning technologies are enabling ready creation of augmented reality (AR) space from an arbitrary physical space. However, it remains a challenging task for an autonomous virtual character to create natural motion in the AR space purely based on the geometric information acquired by 3D scanners. Aiming to create contact-rich poses for virtual characters adaptive to the arbitrary shapes of objects, we present a graph-based data structure, Contact Surface (CS) Graph, that structuralizes the point cloud data and pre-computes important geometric information of objects with respect to generating virtual character's poses. The CS graph supports building contact poses by matching a node representing an object's contact surface to a virtual character's body segment in real time. Tests for constructing CS graphs have been performed for a set of indoor objects including chairs and tables.
接触面图:一种有效查找虚拟人物接触丰富姿态的数据结构
快速发展的3D扫描技术使得从任意物理空间创建增强现实(AR)空间成为可能。然而,对于一个自主的虚拟角色来说,纯粹基于3D扫描仪获取的几何信息在AR空间中创造自然运动仍然是一项具有挑战性的任务。为了使虚拟人物的姿态能够适应任意形状的物体,我们提出了一种基于图的数据结构——接触面图(Contact Surface Graph, CS),它将点云数据结构化,并预先计算出物体的重要几何信息,从而生成虚拟人物的姿态。CS图形支持通过将代表物体接触面的节点与虚拟角色的身体段实时匹配来构建接触姿势。构建CS图的测试已经执行了一组室内对象,包括椅子和桌子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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