Organizers:

• Selim Benhimane (Technische Universitat Munchen / benhiman@in.tum.de),
• Vincent Lepetit (EPFL),
• Adrien Bartoli (LASMEA)

Lecturers:

• Mark Fiala,
• Nassir Navab (Technische Universitat Munchen)
  

Time length:    Half day

Website: http://campar.in.tum.de/ISMAR07TT/WebHome

Summary:
 In this tutorial, we aim to give a survey of the most recent
developments on visual tracking in Augmented Reality applications. First,
latest marker-based approaches will be recalled and discussed. Then, we will focus on marker-less concepts for tracking using features and/or image alignments. Once the newest methods have been introduced, we will see how computer vision and machine learning techniques can be combined in order to improve the quality and the efficiency of the detection and the tracking. Finally, after having considered the camera environment as rigid, performing virtual augmentation on deformable objects in the scene will be described.