Fully automated and stable registration for augmented reality applications

V. Lepetit, L. Vacchetti, D. Thalmann, P. Fua
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引用次数: 138

Abstract

We present a fully automated approach to camera registration for augmented reality systems. It relies on purely passive vision techniques to solve the initialization and real-time tracking problems, given a rough CAD model of parts of the real scene. It does not require a controlled environment, for example placing markers. It handles arbitrarily complex models, occlusions, large camera displacements and drastic aspect changes. This is made possible by two major contributions: the first one is a fast recognition method that detects the known part of the scene, registers the camera with respect to it, and initializes a real-time tracker, which is the second contribution. Our tracker eliminates drift and jitter by merging the information from preceding frames in a traditional recursive tracking fashion with that of a very limited number of key-frames created off-line. In the rare instances where it fails, for example because of large occlusion, it detects the failure and reinvokes the initialization procedure. We present experimental results on several different kinds of objects and scenes.
完全自动化和稳定的注册增强现实应用程序
我们提出了一种完全自动化的增强现实系统相机注册方法。它依靠纯粹的被动视觉技术来解决初始化和实时跟踪问题,给出了真实场景部分的粗略CAD模型。它不需要一个受控的环境,例如放置标记。它处理任意复杂的模型,遮挡,大相机位移和激烈的方面变化。这是通过两个主要贡献实现的:第一个是快速识别方法,检测场景的已知部分,注册相机相对于它,并初始化实时跟踪器,这是第二个贡献。我们的跟踪器通过传统的递归跟踪方式将来自前帧的信息与离线创建的非常有限数量的关键帧合并,从而消除了漂移和抖动。在极少数情况下,它会失败,例如由于大面积遮挡,它会检测到失败并重新调用初始化过程。我们给出了几种不同类型的物体和场景的实验结果。
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