This work proposes a query-by-example algorithm for shape retrieval from a color image database. The main contribution of this work is an unified approach for shape matching and similarity ranking using a modal representation. Prior work mostly performed point correspondence determination and similarity ranking of shapes in two distinct steps or performed one of them. We define a new shape-similarity metric and attempt to address the question "how similar two shapes in an image database are", which currently is an important problem in shape-based retrieval systems. Unlike most reported methods, the presented approach does not require extraction of connected boundaries or silhouettes. It is rotation-, and scale-invariant, and can handle mild deformations of objects. The results are promising for using the algorithm in the context of database query by image content.
Bilge Günsel, A. Tekalp
Proceedings of 13th International Conference on Pattern Recognition