Shape Similarity Measure Based on Correspondence of Visual Parts

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 22, Issue 10, 2000, Pages 1185-1190

  Latecki, Longin Jan ^a   Lakamper, Rolf ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

Author keywords

discrete curve evolution; Shape representation; shape similarity measure; visual parts

Indexed keywords

COMPUTER VISION; DATABASE SYSTEMS; IMAGE RETRIEVAL; IMAGE SEGMENTATION; PATTERN MATCHING; SPURIOUS SIGNAL NOISE;

DISCRETE CURVE EVOLUTION; SHAPE MATCHING; SHAPE REPRESENTATION; SHAPE SIMILARITY MEASURE; VISUAL PARTS;

OBJECT RECOGNITION;

EID: 0034292258     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.879802     Document Type: Article

References (14)

1. M. Arkin, L.P. Chew, D.P. Huttenlocher, K. Kedem, and J.S.B. Mitchell, “An Efficiently Computable Metric for Comparing Polygonal Shapes,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, pp. 209-206, 1991.
2. R. Basri, L. Costa, D. Geiger, and D. Jacobs, “Determining the Similarity of Deformable Shapes,” Vision Research, vol. 38, pp. 2,365-2,385, 1998.
3. D.D. Hoffman and W.A. Richards, “Parts of Recognition,” Cognition, vol. 18, pp. 65-96, 1984.
4. D.D. Hoffman and M. Singh, “Salience of Visual Parts,” Cognition, vol. 63, pp. 29-78, 1997.
5. D. Huttenlocher, G. Klanderman, and W. Rucklidge, “Comparing Images Using the Hausdorff Distance,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, pp. 850-863, 1993.
6. L.J. Latecki and R. Lakamper, “Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution,” Computer Vision and Image Understanding, vol. 73, pp. 441-454, 1999.
7. L.J. Latecki and R. Lakamper, “Polygon Evolution by Vertex Deletion,” Scale-Space Theories in Computer Vision Proc. Int'l Conf. Scale-Space '99, M. Nielsen, P. Johansen, O.F. Olsen, and J. Weickert, eds., Sept. 1999.
8. L.J. Latecki, R. Lakamper, and U. Eckhardt http://www.math.uni-hamburg.de/home/lakaemper/shape.
9. L.J. Latecki, R. Lakamper, and U. Eckhardt, “Shape Descriptors for Nonrigid Shapes with a Single Closed Contour,” Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), June 2000.
10. F. Mokhtarian, S. Abbasi, and J. Kittler, “Efficient and Robust Retrieval by Shape Content through Curvature Scale Space,” Image Databases and MultiMedia Search, A.W.M. Smeulders and R. Jain, eds., pp. 51-58, Singapore: World Scientific, 1997.
11. F. Mokhtarian and A.K. Mackworth, “A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, pp. 789-805, 1992.
12. S. Sclaroff, “Deformable Prototypes for Encoding Shape Categories in Image Databases,” Pattern Recognition, vol. 30, pp. 627-641, 1997.
13. K. Siddiqi, A. Shokoufandeh, S.J. Dickinson, and S.W. Zucker, “Shock Graphs and Shape Matching,” Int'l J. Computer Vision, vol. 35, no. 1, pp. 1332, 1999.
14. K. Siddiqi, K.J. Tresness, and B.B. Kimia, “Parts of Visual Form: Psychophysical Aspects,” Perception, vol. 25, pp. 399-424, 1996.