Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13919
Title: Natural feature tracking for augmented reality
Authors: CHIA KAR WEE
Keywords: Augmented Reality, camera pose, natural features
Issue Date: 6-Apr-2004
Source: CHIA KAR WEE (2004-04-06). Natural feature tracking for augmented reality. ScholarBank@NUS Repository.
Abstract: A robust framework for 6DOF camera pose tracking based on natural features in anarbitrary scene was developed for online Augmented Reality applications. Crucially, the method is based on calculating camera pose relative to pre-captured reference images. This prevents a gradual increase in the camera position error. Point features in the current frame are first matched to two spatially separated reference images. This wide baseline correspondence problem is overcome by matching to the previous image frame and transferring point positions to thereference images. Deviations from the two-view and three-view constraints between the reference images and current frame are then minimized as a function of the camera motion parameters. This calculation is stabilized using a recursive form of temporal regularization similar in spirit to the Kalman filter. Using this system, camera pose is reliably tracked over hundreds of image frames and virtual objects are realistically integrated with only slight jitter.
URI: http://scholarbank.nus.edu.sg/handle/10635/13919
Appears in Collections:Master's Theses (Open)

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