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What is Optimal Feature Tracking Method about?

This technical report discusses methods for tracking point features in image sequences using the factorization method. It revisits the Lucas-Kanade feature tracking algorithm, which minimizes the sum of squared intensity differences between windows in successive frames to estimate small motions. The report focuses on selecting optimal image features for tracking based on how well they can be tracked, rather than independent criteria. Experiments show the selection and tracking methods perform adequately for

Author

Jorge Lavín

Language

EN