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