Optimization of countour based template matching using GPGPU based hexagonal framework

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dc.contributor.authorBhagya, M.
dc.contributor.authorTripathi, S.
dc.contributor.authorSanthi Thilagam, P.S.
dc.date.accessioned2026-02-06T06:41:13Z
dc.date.issued2003
dc.description.abstractThis paper presents a technique to optimize contour based template matching by using General Purpose computation on Graphics Processing Units (GPGPU). Contour based template matching requires edge detection and searching for presence of a template in an entire image, real time implementation of which is not trivial. Using the proposed solution, we could achieve an implementation fast enough to process a standard video (640 × 480) in real time with sufficient accuracy. © 2014 IEEE.
dc.identifier.citation2014 14th International Conference on Hybrid Intelligent Systems, HIS 2014, 2003, Vol., , p. 135-140
dc.identifier.urihttps://doi.org/10.1109/HIS.2014.7086186
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/33424
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectcomputer vision
dc.subjectimage edge detection
dc.subjectimage recognition
dc.subjectimage sampling
dc.titleOptimization of countour based template matching using GPGPU based hexagonal framework

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