Fast object recognition under multiple varying background using improved SIFT method

	Fast object recognition under multiple varying background using improved SIFT method
	Nie, H.-T.; K.-H. Long; J. Ma and J.-G. Liu
	2015
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
卷号	23 期号:8 页码:2349-2356
摘要	An improved Scale Invariant Feature Transform (SIFT) method was proposed to implement the fast object recognition under a multiple varying background. Firstly, the scale space of object image was established, SIFT feature points were extracted and classified by their sizes. Only by comparing the same kinds of feature points, the target recognition could be completed. Then, four new angles were computed from the sub-region orientation histogram to represent the orientation information of each SIFT feature. Meanwhile, the feature point matching range was limited according to angle information in the target recognition to improve the calculation speeds of the SIFT algorithm. Finally, the scale factor between object image and target image was calculated and the object feature points were matched under the constraint by the scale factor to increase the number of correct matches and to insure the robustness of object recognition. Object recognition experiments were operated under object external occlusions, object rotation, scale change and illumination conditions. Results show that improved SIFT method has better performance of object recognition, and its computation speed has raised more than 40% as comparing with that of original SIFT algorithm. , 2015, Chinese Academy of Sciences. All right reserved.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56078
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Nie, H.-T.,K.-H. Long,J. Ma and J.-G. Liu. Fast object recognition under multiple varying background using improved SIFT method[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2015,23(8):2349-2356.
APA	Nie, H.-T.,K.-H. Long,&J. Ma and J.-G. Liu.(2015).Fast object recognition under multiple varying background using improved SIFT method.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,23(8),2349-2356.
MLA	Nie, H.-T.,et al."Fast object recognition under multiple varying background using improved SIFT method".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 23.8(2015):2349-2356.

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