Optical Flow Computation on Compute Unified Device Architecture
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesisAlternative title
Optiskt flödeberäkning med CUDA (Swedish)
There has been a rapid progress of the graphics processor the last years, much because of the demands from computer games on speed and image quality. Because of the graphics processor’s special architecture it is much faster at solving parallel problems than the normal processor. Due to its increasing programmability it is possible to use it for other tasks than it was originally designed for.
Even though graphics processors have been programmable for some time, it has been quite difficult to learn how to use them. CUDA enables the programmer to use C-code, with a few extensions, to program NVIDIA’s graphics processor and completely skip the traditional programming models. This thesis investigates if the graphics processor can be used for calculations without knowledge of how the hardware mechanisms work. An image processing algorithm calculating the optical flow has been implemented. The result shows that it is rather easy to implement programs using CUDA, but some knowledge of how the graphics processor works is required to achieve high performance.
Place, publisher, year, edition, pages
2008. , 44 p.
optical flow, GPU, GPGPU, CUDA
Computer Vision and Robotics (Autonomous Systems) Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-15426ISRN: LiTH-ISY-EX--08/4043--SEOAI: oai:DiVA.org:liu-15424DiVA: diva2:127132
Subject / course
Computer Vision Laboratory
Hedborg, Johan, Doktorand
Felsberg, Michael, Professor