DocumentCode
2553034
Title
An improvement on the keypoint detection method of SIFT for hardware computation
Author
Xiao, Han ; Yuan, Kui ; He, Wenhao
Author_Institution
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
fYear
2011
fDate
21-25 June 2011
Firstpage
63
Lastpage
68
Abstract
In order to achieve real-time detection of SIFT keypoints through hardware computation on FPGA, the original algorithm was redesigned to accommodate the parallel computation and pipelined structure of hardware. The computation accuracy of fixed-point number is improved by the new scheme, while the computation amount of the whole algorithm is greatly reduced and hardware cost is saved. In the aspect of performance, the new scheme is as robust to image noise as the original algorithm, while the scale invariance of keypoints has been improved dramatically.
Keywords
feature extraction; field programmable gate arrays; parallel algorithms; FPGA; SIFT keypoints; fixed-point number; hardware computation; keypoint detection; parallel computation; pipelined structure; real-time detection; Automation; Field programmable gate arrays; Hardware; Laboratories; MATLAB; Robustness; Transforms; FPGA; Hardware Computation; Keypoint Detection; SIFT;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location
Taipei
Print_ISBN
978-1-61284-698-9
Type
conf
DOI
10.1109/WCICA.2011.5970631
Filename
5970631
Link To Document