The described related work tracks motion using optical flow algorithms. It seems that those produce satisfying results but not yet cover the full potential of a AR tracking system. Others use interest-point based algorithms which are commonly known as very computational expensive. SIFT descriptors are probably the most used ones although they might belong the […]
Based on the PTAM Project (here PTAM-d for PTAM running on a desktop computer), which originally runs on a computer, Klein and Murray adapted the code to run on an iPhone 3G (here PTAM-m for PTAM running on mobile device such as smartphone). Of course everything need to become more light-weighted so that it can […]
The paper describes the methods and techniques used in the PTAM project. Usually AR systems only work probably when the running system has a certain knowledge of the surrounding area. This knowledge could pre-acquired information of an object or a know marker (a marker could for example a monochrome pattern that is put, like a […]
[...] a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates violaJones_CVPR2001.pdf (application/pdf-Objekt).
Augmented reality technologies, systems and applications. This paper surveys the current state-of-the-art of technology, systems and applications in Augmented Reality. It describes work performed by many different research groups, the purpose behind each new Augmented Reality system, and the difficulties and problems encountered when building some Augmented Reality applications. It surveys mobile augmented reality systems […]