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A COMBINED TRACKING-RENDERING METHOD FOR 3D OBJECT RECOGNITION IN AUGMENTED REALITY

机译:增强现实中的3D对象识别的组合跟踪渲染方法

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Most of synthetic Augmented Reality Environments are using 2D patterns laying on 3D objects for both real object recognition and tracking. But a such approach seems to be not just comfortable in every day work due to great difficulties in pattern positioning onto 3D objects. An original conceived approach for spatial positioning and recognition of real objects (AR-Ctr -Augmented Reality Combined tracking rendering) is being presented in this paper. Virtual Reality devices, like magnetic 3D tracking system provided by Polhemus (Fastrak), pinching gloves (featuring electrical contacts to activate commands and various events in virtual environment) and 3D stereo visualization may help user to overcome pattern positioning on real objects. AR-Ctr user, wearing a Sony Glasstron see-through head-mounted display, equipped with a Logitech QuickCam, is additionally tracked on both hands and head by 3 Fastrak receivers, returning into the virtual environment the relative positions of the right and left index fingers. Furthermore virtual camera and user head are collimated thanks to the third Fastrak receiver data, avoiding the time-consuming routine for virtual camera position calculation. The AR-Ctr recognition features are based on a parallel rendering task, providing a fast and camera collimated synthetic picture of every 3D model stored in general database (of all recognizable models). Bounding box captured from tracking and pinching activity gives the necessary data to match real and virtual environment. That procedure has been proved an remarkable step ahead towards complex 3D object recognition, arbitrary positioned in the space.
机译:大多数合成增强现实环境都使用2D模式铺设在3D对象上,以实现真实对象识别和跟踪。但是,由于模式定位到3D对象的巨大困难,这种方法似乎在每一天的工作中似乎不仅舒适。本文介绍了一种用于空间定位和识别实体物体的识别方法(AR-CTR -Augmmented Reality组合跟踪渲染)的原始构思方法。虚拟现实设备,如磁性3D跟踪系统,如PolHemus(Fastrak),捏装手套(以电气触点为激活命令和虚拟环境中的各种事件)和3D立体声可视化可以帮助用户克服实际对象上的模式定位。 AR-CTR用户佩戴有索尼格拉斯塞克顿的头戴式显示器,配备了Logitech QuickCam,另外在双手头上跟踪3个Fastrak接收器,返回虚拟环境右索引的相对位置手指。此外,由于第三个Fastrak接收器数据,虚拟摄像机和用户头部是准直的,避免为虚拟摄像机位置计算耗时的常规例程。 AR-CTR识别功能基于并行渲染任务,提供存储在一般数据库中的每个3D模型的快速和相机准直的合成图片(所有可识别的模型)。捕获从跟踪和捏合活动捕获的边界框为匹配真实和虚拟环境提供必要的数据。该程序已被证明是对复杂的3D对象识别,任意定位在空间中的显着步骤。

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