DocumentCode :
1799184
Title :
An integrated algorithm for NRSFM with RIKs
Author :
Yuan Fang ; Zhan-Li Sun ; Li Shang
Author_Institution :
Sch. of Electr. Eng. & Autom., Anhui Univ., Hefei, China
fYear :
2014
fDate :
18-20 Aug. 2014
Firstpage :
482
Lastpage :
484
Abstract :
In this paper, an integrated algorithm is proposed to reduce the fluctuation of the NRSFM-RIKs algorithm caused by the parameter variation. In the proposed method, a grid division is first performed on the possible interval of parameters. Then, each group of values is set as the parameter values of the NRSFM-RIKs algorithm to estimate the 3D coordinates of feature points. Finally, the estimated 3D coordinates are integrated, and used as the final estimations. The experimental results on several widely used sequences demonstrate the feasibility and effectiveness of the proposed method.
Keywords :
computer vision; grid computing; matrix algebra; 3D coordinates estimation; NRSFM-RIKs algorithm; computer vision; grid division; integrated algorithm; parameter variation; Computer vision; Educational institutions; Estimation; Kernel; Legged locomotion; Shape; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2014 Fifth International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-3649-6
Type :
conf
DOI :
10.1109/ICICIP.2014.7010305
Filename :
7010305
Link To Document :
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