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