A Geometric Centroid Contour Distance for Scale/Rotation Robustness Using Shape Alignment and Feature Based Normalization

摘要

In this paper, we propose a Geometrical Centroid Contour Distance (GCCD) which is described by shape signature based on contour sequence. The proposed method uses geometrical relation features instead of the absolute angle based features after it was normalized and aligned with dominant feature of the shape. Experimental result with MPEG-7 CE-Shape-1 Data Set reveals that our method has low time/spatial complexity and scale/rotation robustness than the other methods, showing that the precision of our method is more accurate than the conventional descriptors. However, performance of the GCCD is limited with concave and complex shaped objects.