Hybrid tracking algorithms for planar and non-planar structures subject to illumination changes

Augmented reality (AR) aims to fuse a virtual world and a real one in an image stream. When considering only a vision sensor, it relies on registration techniques that have to be accurate and fast enough for on-line augmentation. This paper proposes a real-time, robust and efficient 3D model-based t...

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Bibliographic Details
Published in2006 5th IEEE and ACM International Symposium om Mixed and Augmented Reality pp. 52 - 55
Main Authors Pressigout, Muriel, Marchand, Eric
Format Conference Proceeding
LanguageEnglish
Published Washington, DC, USA IEEE Computer Society 22.10.2006
SeriesACM Other Conferences
Subjects
Augmented reality
Cameras
Computing methodologies
Computing methodologies > Artificial intelligence
Computing methodologies > Artificial intelligence > Computer vision
Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems
Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Tracking
Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks
Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Scene understanding
Computing methodologies > Computer graphics
Computing methodologies > Computer graphics > Animation
Computing methodologies > Computer graphics > Animation > Motion capture
Fuses
Layout
Lighting
Machine vision
Real time systems
Robustness
Streaming media
Visual servoing
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Summary:Augmented reality (AR) aims to fuse a virtual world and a real one in an image stream. When considering only a vision sensor, it relies on registration techniques that have to be accurate and fast enough for on-line augmentation. This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm monocular vision system. A virtual visual servoing approach is used to estimate the pose between the camera and the object. The integration of texture information in the classical non-linear edge-based pose computation provides a more reliable tracker. Several illumination models have been considered and compared to better deal with the illumination change in the scene. The method presented in this paper has been validated on several video sequences for augmented reality applications.
ISBN:1424406501
9781424406500
DOI:10.1109/ISMAR.2006.297794