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An Improvement on the Keypoint Detection Method of SIFT for Hardware Computation
Xiao H(肖晗); Yuan K(原魁); He WH(何文浩); Xiao H(肖晗)
2011-06
Conference Namethe 8th World Congress on Intelligent Control and Automation
Source Publicationthe 8th World Congress on Intelligent Control and Automation
Conference DateJune 21-25, 2011
Conference PlaceTaipei, Taiwan
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.
KeywordSift Hardware Computation Fpga Keypoint Detection
Language中文
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12130
Collection智能制造技术与系统研究中心_智能机器人
Corresponding AuthorXiao H(肖晗)
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Xiao H,Yuan K,He WH,et al. An Improvement on the Keypoint Detection Method of SIFT for Hardware Computation[C],2011.
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