NDLI: Shape matching based on graph alignment using hidden Markov models

Content Provider	IEEE Xplore Digital Library
Author	Xiaoning Qian Byung-Jun Yoon
Copyright Year	2010
Description	Author affiliation: University of South Florida, Department of Computer Science & Engineering, Tampa, 33620, USA (Xiaoning Qian) \|\| Texas A&M University, Department of Electrical & Computer Engineering, College Station, 77843, USA (Byung-Jun Yoon)
Abstract	We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorithms provide effective tools for shape analysis, an important problem in computer vision and image processing applications. Typically, it is computationally expensive to find the optimal correspondence between feature points in different sets, hence existing algorithms often resort to various heuristics that find suboptimal solutions. Unlike most of the previous algorithms, the proposed HMM-based framework allows us to find the optimal correspondence using an efficient dynamic programming algorithm, where the computational complexity of the resulting shape matching algorithm grows only linearly with the size of the respective point sets. We demonstrate the promising potential of the proposed algorithm based on several benchmark data sets.
Starting Page	934
Ending Page	937
File Size	171527
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Hidden Markov models Image analysis Algorithm design and analysis Computer vision Image processing Application software Dynamic programming Heuristic algorithms Computational complexity graph alignment Shape matching hidden Markov model (HMM)
Content Type	Text
Resource Type	Article

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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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