DocumentCode :
621949
Title :
Integral image computation on GPU
Author :
Chouchene, Marwa ; Sayadi, Fatma Ezahra ; Atri, Mohamed ; Tourki, Rached
Author_Institution :
Lab. of Electron. & Microelectron. (EμE), Fac. of Sci. of Monastir, Monastir, Tunisia
fYear :
2013
fDate :
18-21 March 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we present an integral image algorithm that can run in real-time on a Graphics Processing Unit (GPU). Our system exploits the parallelisms in computation via the NVIDA CUDA programming model, which is a software platform for solving non-graphics problems in a massively parallel high performance fashion. We compare the performance of the parallel approach running on the GPU with the sequential CPU implementation across a range of image sizes.
Keywords :
graphics processing units; parallel architectures; parallel programming; CUDA programming model; GPU; NVIDA; graphics processing unit; integral image computation; nongraphics problem solving; parallel high performance fashion; software platform; Computer architecture; Computer vision; Graphics processing units; Instruction sets; Kernel; Laboratories; Programming; CPU; GPU; Integral image; NVIDIA CUDA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-6459-1
Electronic_ISBN :
978-1-4673-6458-4
Type :
conf
DOI :
10.1109/SSD.2013.6564007
Filename :
6564007
Link To Document :
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