Performance measurement of a general multi-scale template matching method
Gábor Kertész, Sándor Szénási, Zoltán Vámossy · 2015
Generally, template matching methods are very sensible to image orientation, rotation or the size of the template. However, there are known occasions, when they perform better then other keypoint-based techniques. This article demonstrates a massively parallelizable method to multi-scaled template matching. By implementing it sequentially on CPU and on GPU with a naive approach, the runtimes can be measured during a test with multiple scale sizes. With the use of the GPU, the runtimes are 16-times lower. These results indicate that there is place for further research, and to develop a GPU associated solution to handle real-time video processing.