Retrieving images by 2D shape: a comparison of computation methods with human perceptual judgments

Brian Scassellati, Sophoclis P. Alexopoulos, Myron Flickner · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994

In content based image retrieval, systems allow users to ask for objects similar in shape to a query object. However, there is no clear understanding of how computational shape similarity corresponds to human shape similarity. In this paper several shape similarity measures were evaluated on planar, connected, non-occluded binary shapes. Shape similarity using algebraic moments, spline curve distances, cumulative turning angle, signal of curvature and Hausdorff- distance were compared to human similarity judgments on twenty test shapes against a large image database.

Read the paper · More papers on PaperTik