DocumentCode :
678727
Title :
ColourFAST: GPU-based feature point detection and tracking on mobile devices
Author :
Ensor, Andrew ; Hall, Sebastian
Author_Institution :
Sch. of Comput. & Math. Sci., AUT Univ., Auckland, New Zealand
fYear :
2013
fDate :
27-29 Nov. 2013
Firstpage :
124
Lastpage :
129
Abstract :
A realtime feature point detection algorithm called ColourFAST is introduced. ColourFAST extracts vector-based feature strength and direction measures from the colour channels of any pixel in an image. The extracted information is applied to create an effective feature point tracker. These feature point and tracker algorithms have a pipeline design optimized for GPU processors. Results are provided for an implementation on mobile devices developed using programmable shaders. Its performance demonstrates several improvements over conventional FAST feature point detection and Lucas-Kanade tracking.
Keywords :
feature extraction; graphics processing units; image colour analysis; mobile computing; ColourFAST; GPU based feature point detection; GPU based feature point tracking; GPU processors; Lucas-Kanade tracking; colour channels; feature point tracker; image pixel; information extraction; mobile devices; programmable shaders; Feature extraction; Graphics processing units; Image color analysis; Mobile handsets; Pipelines; Tracking; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
Conference_Location :
Wellington
ISSN :
2151-2191
Print_ISBN :
978-1-4799-0882-0
Type :
conf
DOI :
10.1109/IVCNZ.2013.6727003
Filename :
6727003
Link To Document :
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