Titlebook: Vision Algorithms: Theory and Practice; International Worksh Bill Triggs,Andrew Zisserman,Richard Szeliski Conference proceedings 2000 Spri

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Error Characterization of the Factorization Approach to Shape and Motion Recoveryix perturbation theory and covariance propagation for linear models. Given the 2-D projections of a set of points across multiple image frames and small perturbation on image coordinates, first order perturbation and covariance matrices for 3-D affine/Euclidean shape and motion are derived and valid

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Bootstrapping Errors-in-Variables Modelsnly the available data. Performance assessment through bootstrap provides the same or better accuracy than the traditional error propagation approach, most often without requiring complex analytical derivations. In many computer vision tasks a regression problem in which the measurement errors are p

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Annotation of Video by Alignment to Reference Imageryeo is simply presented to the viewer, with only minimal manipulation. Examples include chroma-keying (often used in news and weather broadcasts) where specific color components are detected and used to control the video source. In the past few years, the advent of digital video and increases in comp

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