NDLI: Aligning Bags of Shape Contexts for Blurred Shape Model based symbol classification

Content Provider	IEEE Xplore Digital Library
Author	Battiato, S. Farinella, G.M. Giudice, O. Puglisi, G.
Copyright Year	2012
Description	Author affiliation: Image Processing Laboratory - University of Catania (Battiato, S.; Farinella, G.M.; Giudice, O.; Puglisi, G.)
Abstract	This paper addresses the problem of shape classification and proposes a method able to exploit peculiarities of both, local and global shape descriptors. In the proposed shape classification framework, the silhouettes of symbols are firstly described through Bags of Shape Contexts. This shape signature is used to solve correspondence problem between points of two shapes. The obtained correspondences are employed to recover the geometric transformations between the shape to be classified and the ones belonging to the training dataset. The alignment is based on a voting procedure in the parameter space of the model considered to recover the geometric transformation. The aligned shapes are finally described with the Blurred Shape Model descriptor for classification purposes. Experiments performed on two different challenging datasets demonstrate that the proposed strategy outperforms the state-of-the-art approaches from which our solution originates.
Starting Page	1598
Ending Page	1601
File Size	1405818
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Shape Context Training Robustness Pattern recognition Transform coding Accuracy
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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