NDLI: Realtime arbitrary-shaped template matching process

Content Provider	IEEE Xplore Digital Library
Author	Dai-Duong Truong Vinh-Tiep Nguyen Anh-Duc Duong Chau-Sang Nguyen Ngoc Minh-Triet Tran
Copyright Year	2012
Description	Author affiliation: University of Science & John von Neumann Institute, VNU-HCM, Ho Chi Minh city, Viet Nam (Vinh-Tiep Nguyen) \|\| Faculty of Information Technology, University of Science, VNU-HCM, Ho Chi Minh city, Viet Nam (Dai-Duong Truong; Minh-Triet Tran) \|\| Faculty of Information Technology University of Science, VNU-HCM, Ho Chi Minh city, Viet Nam (Chau-Sang Nguyen Ngoc) \|\| Faculty of Software Engineering, University of Information Technology, VNU-HCM, Ho Chi Minh city, Viet Nam (Anh-Duc Duong)
Abstract	Template matching is one of the significant methods used in most computer vision applications. However, one disadvantage of existing template matching methods is that a template must be a rectangular image. Several solutions can be used to overcome this problem, such as feature-based, edge-based, etc., but most of them do not meet the requirements of practical applications because of their slow speed or low accuracy. In this paper, the authors propose a process for matching a template with an arbitrary shape using the idea of coarse-fine and refining interesting regions. Variety of measures can be used to provide different levels of performance for each practical situation. Experiments show that the process performs an impressive performance in average. Using the same measures, the proposed process works 5 times faster than the FFT template matching method (implemented in OpenCV), while achieving the similar accuracy. Moreover, most parts of the proposed process can be executed in parallel on multi-core CPUs or GPUs.
Starting Page	1407
Ending Page	1412
File Size	555486
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Vectors Shape Image resolution Time measurement Pattern matching Educational institutions arbitrary shaped template template matching coarse-fine integral image
Content Type	Text
Resource Type	Article

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