Grouping of Semantically Similar Image Positions

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.

• Type: Conference
• Year: 2009
• Where: SCIA
• Authors: Lutz Priese, Frank Schmitt, Nils Hering
• Keywords: Invariant Feature Transformation, SCIA 2009, Similar Semantics, Single Image