We develop an efficient algorithm to track point features supported by image patches undergoing affine deformations and changes in illumination. The algorithm is based on a combined model of geometry and photometry, that is used to track features as well as to detect outliers in a hypothesis testing framework. The algorithm runs in real time on a personal computer; and is available to the public.
Real-time feature tracking and outlier rejection with changes in illumination
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 ; 1 ; 684-689 vol.1
01.01.2001
855005 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination
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