2009 | OriginalPaper | Chapter
Grouping of Semantically Similar Image Positions
Authors : Lutz Priese, Frank Schmitt, Nils Hering
Published in: Image Analysis
Publisher: Springer Berlin Heidelberg
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Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT features of a single image has been introduced where features of a similar semantics are close in this topology. We continue this work and present a technique to automatically detect groups of SIFT positions in a single image where all points of one group possess a similar semantics. The proposed method borrows ideas and techniques from the Color-Structure-Code segmentation method and does not require any user intervention.