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.
dc.date.accessioned2026-02-05T09:33:54Z
dc.date.issued2015
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 (640x480) in real time with sufficient accuracy.
dc.identifier.citationInternational Journal of Computer Information Systems and Industrial Management Applications, 2015, 7, 1, pp. 32-40
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/26364
dc.publisherMachine Intelligence Research (MIR) Labs contact@mirlabs.org
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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