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• W2074037918 abstract "The use of optical flow fields in image sequence analysis allows us to perform motion-based segmentation as well as 3-D reconstruction. Many techniques for optical flow estimation are based on some <i>global </i>or <i>piecewise global smoothness </i>assumption. Other techniques compute the flow field based only on local information. A local algorithm explicitly addressing the problem of evaluating a reliable optical flow field at motion boundaries is presented. Velocity vectors are computed as solutions of a multiwindow least-squares problem; the field is then regularized by a vector median filter. The algorithm is noniterative and nonparametric. Results on both synthetic and real-world sequences are shown; a performance comparison with two well-known techniques demonstrates the effectiveness of the algorithm in terms of noise rejection, motion boundary preservation, and speed." @default.
• W2074037918 created "2016-06-24" @default.
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• W2074037918 date "1993-01-01" @default.
• W2074037918 modified "2023-09-27" @default.
• W2074037918 title "Multiwindow least-squares approach to the estimation of optical flow with discontinuities" @default.
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• W2074037918 doi "https://doi.org/10.1117/12.134199" @default.
• W2074037918 hasPublicationYear "1993" @default.
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