Feature Detection. Description Localization More Points Robust to occlusion Works with less texture More Repeatable Robust detection Precise localization.
Distinctive Image Features from Scale-Invariant Keypoints David Lowe.
Algoritmi ed architetture per la risoluzione di problemi di visual search
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The SIFT (Scale Invariant Feature Transform) Detector and Descriptor developed by David Lowe University of British Columbia Initial paper ICCV 1999 Newer.
Distinctive image features from scale-invariant keypoints. David G. Lowe, Int. Journal of Computer Vision, 60, 2 (2004), pp. 91-110 Presented by: Shalomi.
11 Scale Invariant Feature Transform (SIFT) David G. Lowe University of British Columbia.
Representation, Description and Matching CS485/685 Computer Vision Dr. George Bebis.
Interest Point Descriptors and Matching CS485/685 Computer Vision Dr. George Bebis.
Distinctive Image Features from Scale-Invariant Keypoints
Crowd Size Estimation Luis Huang 12-3-08 ECE 172A - UCSD.
