This video demonstrates our work published in ICAT2011 conference. We combine RGB information with 3D depth information for robust target object detection under difficult situations, such as varying lighting conditions, poor textures, and scale differences.
ビジョンの特徴点がどのようになっているかが目で見てわかるデモ動画
The demonstration animation looked at and understood what the details of the vision have become by the eye
We propose a vision-based all-in-one solution for augmented reality where users want to exploit unknown 3D objects in their systems.
In our solution, we facilitate two time-consuming o -line pro-cesses: obtaining information, such as keyframes and keypoints, for real-time tracking of unknown 3D targets, and estimating local coordinates with a scale for accurate registration of virtual content.
The proposed solution only requires images with minimal interactions.
The users do not need to know about 3D marker-less tracking in depth. At the end, we propose a framework for AR miniatures systems to verify the e ectiveness of our solution. As a result, all developed systems worked in real-time, more than 25 framerate, and showed reliable registration even in severe viewpoint changes.
Our demonstration videos are available in the supplemental materials.
(via YouTube by GISTcti)
HOME 
Traffic, 2011 - Augmented-Reality-Installation von Bernd Lintermann, Johannes Degenhard, Jan Gerigk, Martin Schmidt -自動車の歴史を伝えるためのイベントにて #AR
