Index Trees for Efficient Deformable Shape-based Retrieval


Autoria(s): Liu, Lifeng; Sclaroff, Stan
Data(s)

20/10/2011

20/10/2011

22/03/2000

Resumo

An improved method for deformable shape-based image indexing and retrieval is described. A pre-computed index tree is used to improve the speed of our previously reported on-line model fitting method; simple shape features are used as keys in a pre-generated index tree of model instances. In addition, a coarse to fine indexing scheme is used at different levels of the tree to further improve speed while maintaining matching accuracy. Experimental results show that the speedup is significant, while accuracy of shape-based indexing is maintained. A method for shape population-based retrieval is also described. The method allows query formulation based on the population distributions of shapes in each image. Results of population-based image queries for a database of blood cell micrographs are shown.

Office of Naval Research (Young Investigator Award, N00014-96-1-066); National Science Foundation (IIS-9624168, EIA-9623865)

Identificador

Liu, Lifeng; Sclaroff, Stan. "Index trees for efficient deformable shape-based retrieval", Technical Report BUCS-2000-009, Computer Science Department, Boston University, March 22, 2000. [Available from: http://hdl.handle.net/2144/1803]

http://hdl.handle.net/2144/1803

Idioma(s)

en_US

Publicador

Boston University Computer Science Department

Relação

BUCS Technical Reports;BUCS-TR-2000-009

Tipo

Technical Report