基于关键帧的建模和跟踪多个3D对象

Kiyoung Kim, V. Lepetit, Woontack Woo
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引用次数: 39

摘要

我们提出了一种在未知环境中建模和跟踪多个三维物体的实时解决方案。我们的贡献有两个方面:首先,我们展示了如何根据对象的数量进行缩放。这是通过结合最新的图像检索技术和在线运动结构技术来实现的,它们可以并行运行。因此,即使在困难的跟踪条件下,也可以在每帧6到25毫秒内跟踪40个3D对象。其次,我们提出了一种让用户快速添加新对象的方法。用户只需在图像中选择物体上的2D区域。然后将三维原语拟合到该区域内的特征上,并进行调整以创建对象的3D模型。实际上,这个过程只需要不到一分钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Keyframe-based modeling and tracking of multiple 3D objects
We propose a real-time solution for modeling and tracking multiple 3D objects in unknown environments. Our contribution is two-fold: First, we show how to scale with the number of objects. This is done by combining recent techniques for image retrieval and online Structure from Motion, which can be run in parallel. As a result, tracking 40 objects in 3D can be done within 6 to 25 milliseconds per frame, even under difficult conditions for tracking. Second, we propose a method to let the user add new objects very quickly. The user simply has to select in an image a 2D region lying on the object. A 3D primitive is then fitted to the features within this region, and adjusted to create the object 3D model. In practice, this procedure takes less than a minute.
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