Dynamic shape retrieval by hierarchical curve matching, snakes and data mining

Jia You, P. Bhattacharya

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


This paper presents a new approach to similar shape retrieval by coarse-to-fine curve matching and data mining techniques. The proposed method extends the concepts of conventional data warehouse and image database for effective image indexing. An image data warehouse schema is developed to integrate multiple shape features for hierarchical shape representation, dynamic similarity measures and fast query processing. A guided search scheme is introduced, that combines the methods of invariant moments, 2D polygonal arc matching and B-spline curve matching, to search for the best similar shape in a hierarchical fashion. The proposed method is applied to the tropical cyclone pattern recognition by utilizing the active contour model (snake) to extend the traditional Dvorak technique for tropical cyclone intensity analysis and forecasting from satellite imagery.
Original languageEnglish
Pages (from-to)1035-1038
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Issue number1
Publication statusPublished - 1 Dec 2000


  • Curve matching
  • Cyclones
  • Feature extraction
  • Guided search
  • Image data warehouse
  • Similar-shape retrieval
  • Snakes

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this