Using Polygons to Recognize and Locate Partially Occluded Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neighborhoods for distance transformations using ordered propagation
CVGIP: Image Understanding
New geodesic distance transforms for gray-scale images
Pattern Recognition Letters
The image processing handbook (3rd ed.)
The image processing handbook (3rd ed.)
Curvature scale space image in shape similarity retrieval
Multimedia Systems
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Objective evaluation criteria for 2D-shape estimation results of moving objects
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Image sequence analysis for emerging interactive multimedia services-the European COST 211 framework
IEEE Transactions on Circuits and Systems for Video Technology
Face recognition based on ordinal correlation
International Journal of Intelligent Systems Technologies and Applications
A new social networking experience using eyetap devices
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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We present a novel approach to shape similarity estimation based on distance transformation and ordinal correlation. The proposed method operates in three steps: object alignment, contour to multilevel image transformation, and similarity evaluation. This approach is suitable for use in shape classification, content-based image retrieval, and performance evaluation of segmentation algorithms. The two latter applications are addressed in this paper. Simulation results show that in both applications our proposed measure performs quite well in quantifying shape similarity. The scores obtained using this technique reflect well the correspondence between object contours as humans perceive it.