Author :
Huang, Xiangsheng ; Wang, Jie ; Zhang, Mandun ; Zhai, Jun
Author_Institution :
Inst. of Autom., Beijing, China
Abstract :
In order to improve the high complexity problem of SIFT, SURF algorithm uses the DoH (Determinant of the Hessian) which is simplified and approximate. This improvement not only guarantees the stability of the algorithm, but also increases the calculation efficiency. But when the SURF simplifies the DoH gaussian second order differential template, some of the image gradient information were lost. Therefore, an Gradual SURF(G-SURF) operator is proposed in the this paper, and the gradient information is added in the process. Experimental results show that the proposed improved SURF operator can get a more stable effect, and improve calculation complexity at the same time.
Keywords :
Gaussian processes; computational complexity; edge detection; gradient methods; image matching; DoH gaussian second order differential template; G-SURF operator; Gradual-SURF algorithm; SIFT problem; algorithm stability; calculation complexity; corner detection; determinant of the Hessian; image gradient information; stereo matching; Algorithm design and analysis; Approximation algorithms; Feature extraction; Filtering algorithms; Robustness; Stability analysis; Vectors; Corner detection; SIFT; SURF; Stereo matching;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100375
