DocumentCode
3060851
Title
GPU Accelerated Wavelet Transform Profilometry
Author
Zhou, Bo ; Zhao, Xiaomin ; Liu, Chunyuan
Author_Institution
Coll. of Comput., Heilongjiang Univ. of Sci. & Technol., Haerbin, China
fYear
2012
fDate
23-26 June 2012
Firstpage
72
Lastpage
76
Abstract
Huge workload and time-consuming of the phase computation based on the Wavelet Transform Profilometry (WTP) so that not meet real-time three-dimensional (3D) measurement needs. Fortunately the pixels which in situ need to be processed and the already processed pixels are independent, so the phase of each pixel can be calculated separately. It is possible to make the phase computation implement on Graphics Processing Unit (GPU) with the multi-threading parallel processing, and to solve the problem of the low efficiency on CPU. Experiments show that it obtains the speedup of one to two orders of magnitude to CPU by GPU acceleration with the same accuracy, which lays the solid foundation for WTP applying to the real-time 3D measurement.
Keywords
graphics processing units; multi-threading; parallel processing; wavelet transforms; GPU; WTP; graphics processing unit; multi-threading parallel processing; phase computation; real-time three-dimensional measurement; wavelet transform profilometry; Acceleration; Continuous wavelet transforms; Graphics processing unit; Instruction sets; Real time systems; Compute Unified Device Architecture(CUDA); GPU acceleration; Wavelet Transform Profilometry; computing the phase in parallel;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4673-1365-0
Type
conf
DOI
10.1109/CSO.2012.24
Filename
6274681
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