Thesis Details
Exploitation of GPU in graphics and image processing algorithms
This thesis introduces several selected algorithms, which were primarily developed forCPUs, but based on high demand for improvements; we have decided to utilize it on behalfof GPGPU. This modification was at the same time goal of our research. The researchitself was performed on CUDA enabled devices.The thesis is divided in accordance with three algorithm’s groups that have beenresearched: a real-time object detection, spectral image analysis and real-time line detection.The research on real-time object detection was performed by using LRD and LRP features.Research on spectral image analysis was performed by using PCA and NTF algorithmsand for the needs of real-time line detection, we have modified accumulation scheme forthe Hough transform in two different ways.Prior to explaining particular algorithms and performed research, GPU architecturetogether with GPGPU overview are provided in second chapter, right after an introduction.Chapter dedicated to research achievements focus on methodology used for the differentalgorithm modifications and authors’ assess to the research, as well as several productsthat have been developed during the research.The final part of the thesis concludes our research and provides more information aboutthe research impact.
GPU, CPU, GPGPU, CUDA, LRP, LRD, PCA, NTF, Line Detection, Parallel Coordinates, Hough Transform, Spectral Image, Object Detection
@phdthesis{FITPT301,
author = "Radovan Jo\v{s}th",
type = "Ph.D. thesis",
title = "Exploitation of GPU in graphics and image processing algorithms",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2015,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/phd-thesis/301/"
}