DocumentCode
1430666
Title
Simplified modal analysis and search for reliable shape retrieval
Author
Dell´Acqua, Fabio ; Gamba, Paolo
Author_Institution
Dipt. di Elettronica, Pavia Univ., Italy
Volume
8
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
656
Lastpage
666
Abstract
We present the application of a simplified shape analysis technique based on a modal representation of the object shape, and which is useful for improving the efficiency and effectiveness of shape-driven searches in image databases. The proposed method computes the representation of an object by means of modes very similar to the deformation modes of a mechanical system, but in a numerically more stable way than the usual finite-element method approach. Moreover, to make the technique for the visual search more effective, many different definitions of similarity indexes are introduced and discussed. The problems related to the comparison between objects represented by a very different number of feature points are also discussed. Finally, to prove the effectiveness of the approach, the indexes are studied in a simple case study (a small database of character shapes). However, their performance on a larger image database is also addressed, as well as the ability of the method to efficiently assess the problem of retrieving images similar to a user-defined sketch
Keywords
feature extraction; finite element analysis; image matching; image representation; query processing; visual databases; character shapes database; deformation modes; feature points; finite-element method; image databases; image retrieval; mechanical system; modal analysis; modal representation; mode matching methods; object representation; object shape; performance; reliable shape retrieval; shape-driven searches; similarity indexes; user-defined sketch; visual search; Finite element methods; Image analysis; Image databases; Image retrieval; Indexes; Information retrieval; Mechanical systems; Modal analysis; Shape; Spatial databases;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/76.718511
Filename
718511
Link To Document