The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 28-930
Full Name: Cecilia Di Ruberto
Position: Associate Professor
Age: ON
Sex: Female
Address: Via Ospedale 72
Country: ITALY
Tel: 0706758507
Tel prefix: +39
Fax: 0706758504
E-mail address: dirubert@unica.it
Other E-mails: andrea.morgera@unica.it,gaviano@unica.it
Title of the Paper: shape matching by curve modelling and alignment
Authors as they appear in the Paper: Cecilia Di Ruberto Marco Gaviano Andrea Morgera
Email addresses of all the authors: dirubert@unica.it,andrea.morgera@unica.it,gaviano@unica.it
Number of paper pages: 12
Abstract: Automatic information retrieval in the field of shape recognition has been widely covered by many research fields. Various techniques have been developed using different approaches such as intensity-based, model- based and shape-based methods. Whichever is the way to represent the objects in images, a recognition method should be robust in the presence of scale change, translation and rotation. In this paper we present a new recognition method based on a curve alignment technique, for planar image contours. The method consists of various phases including extracting outlines of images, detecting significant points and aligning curves. The dominant points can be manually or automatically detected. The matching phase uses the idea of calculating the overlapping indices between shapes as similarity measures. To evaluate the effectiveness of the algorithm, two databases of 216 and 99 images have been used. A performance analysis and comparison is provided by !
precision-recall curves.
Keywords: Curve alignment Information retrieval Object recognition Image indexing Precision-recall
EXTENSION of the file: .pdf
Special (Invited) Session: A new method for the positioning and matching of shape outlines
Organizer of the Session: 609-490
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IP ADDRESS: 192.167.144.165
