Su, Yang, Xu, Zhijie and Jiang, Xiang (2009) Real-time VE Signal Extraction and Denoising Using Programmable Graphics Hardware. International Journal of Automation and Computing, 6 (4). pp. 326-334. ISSN 1476-8186Metadata only available from this repository.
The sense of being within a three-dimensional space and interacting with virtual three-dimensional (3D) objects in a computer generated virtual environment (VE) often requires essential image, vision and sensor signal processing techniques such as differentiating and denoising. This paper describes novel implementations of the Gaussian filtering for characteristic signal extraction and wavelet-based image denoising algorithms that run on the graphics processing unit (GPU). While significant acceleration over standard CPU implementations is obtained through exploiting data parallelism provided by the modern programmable graphics hardware, the CPU can be freed up to run other computations more efficiently such as AI and physics. The proposed GPU-based Gaussian filtering can extract surface information from a real object and provide its material features for rendering and illumination. The wavelet-based signal denoising for large size digital images realized in this project provided better realism for VE visualization without sacrificing real-time and interactive performances of an application.
|Subjects:||T Technology > T Technology (General)|
Z Bibliography. Library Science. Information Resources > ZA Information resources
|Schools:||School of Computing and Engineering|
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group
School of Computing and Engineering > High-Performance Intelligent Computing > Visualisation, Interaction and Vision
|Depositing User:||Yuanping Xu|
|Date Deposited:||14 Jul 2009 14:37|
|Last Modified:||05 Jan 2011 13:00|
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