Title: SIFT Implementation and Optimization for General-Purpose GPU
Authors: Heymann, S.
Müller, K.
Smolic, A.
Fröhlich, B.
Wiegand, T.
Citation: WSCG '2007: Full Papers Proceedings: The 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007 in co-operation with EUROGRAPHICS: University of West Bohemia Plzen Czech Republic, January 29 – February 1, 2007, p. 317-322.
Issue Date: 2007
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2007/Papers_2007/full/!WSCG2007_Full_Proceedings_Final-1.zip
ISBN: 978-80-86943-98-5
Keywords: grafické procesory;SIFT;extrakce znaků;trasování
Keywords in different language: graphic processing;SIFT;feature extraction;tracking
Abstract: With the addition of free programmable components to modern graphics hardware, graphics processing units (GPUs) become increasingly interesting for general purpose computations, especially due to utilizing parallel buffer processing. In this paper we present methods and techniques that take advantage of modern graphics hardware for real-time tracking and recognition of feature-points. The focus lies on the generation of feature vectors from input images in the various stages. For the generation of feature-vectors the Scale Invariant Feature Transform (SIFT) method [Low04a] is used due to its high stability against rotation, scale and lighting condition changes of the processed images. We present results of the various stages for feature vector generation of our GPU implementation and compare it to the CPU version of the SIFT algorithm. The approach works well on Geforce6 series graphics board and above and takes advantage of new hardware features, e.g. dynamic branching and multiple render targets (MRT) in the fragment processor [KF05]. With the presented methods feature-tracking with real time frame rates can be achieved on the GPU and meanwhile the CPU can be used for other tasks.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2007: Full Papers Proceedings

Files in This Item:
File Description SizeFormat 
Heymann.pdfPlný text462,28 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11026

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.