Fully automated and stable registration for augmented reality applications
Fully automated and stable registration for augmented reality applications
复制标题
增强现实应用程序的全自动且稳定的注册
DOI：
10.1109/ismar.2003.1240692
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
P. Fua
中科院分区：
文献类型：
--
作者：
V. Lepetit;L. Vacchetti;D. Thalmann;P. Fua
我们提出了一个全自动的方法来增强现实系统的摄像机注册。它依赖于纯粹的被动视觉技术来解决初始化和实时跟踪问题，给出了一个粗略的CAD模型的部分真实的场景。它不需要受控环境，例如放置标记。它可以处理任意复杂的模型，遮挡，大型相机位移和剧烈的方面变化。这是可能的两个主要贡献：第一个是一个快速识别方法，检测场景的已知部分，相对于它注册的相机，和实时跟踪器，这是第二个贡献。我们的跟踪器消除漂移和抖动合并的信息，从以前的帧在一个传统的递归跟踪方式与离线创建的关键帧的数量非常有限。在极少数情况下，例如由于大的闭塞，它会检测到故障并重新调用初始化过程。我们提出了几种不同类型的对象和场景的实验结果。
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.