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14

ICCV
2001
IEEE

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Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination

14 years 6 months ago

Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination

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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.

Hailin Jin, Paolo Favaro, Stefano Soatto

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Affine Deformations | Computer Vision | Efficient Algorithm | Hypothesis Testing Framework | ICCV 2001 |

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Added	15 Oct 2009
Updated	31 Oct 2009
Type	Conference
Year	2001
Where	ICCV
Authors	Hailin Jin, Paolo Favaro, Stefano Soatto

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