基于GPGPU的六边形框架中基于轮廓的模板匹配优化

2014 14th International Conference on Hybrid Intelligent Systems Pub Date : 2014-12-01 DOI:10.1109/HIS.2014.7086186

M. Bhagya, S. Tripathi, P. S. Thilagam

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引用次数: 1

摘要

本文提出了一种基于图形处理器(GPGPU)通用计算的轮廓模板匹配优化技术。基于轮廓的模板匹配需要在整个图像中进行边缘检测和搜索模板的存在，实时实现是非常困难的。使用所提出的解决方案，我们可以实现足够快的实现，以足够的精度实时处理标准视频(640 × 480)。

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Optimization of countour based template matching using GPGPU based hexagonal framework

This 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.

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2014 14th International Conference on Hybrid Intelligent Systems

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