Title :
A non-parametric area-based method to identify matched pixels
Author :
Kouzani, A.Z. ; Ong, S.H.
Author_Institution :
Sch. of Eng. & Technol., Deakin Univ., Geelong, Vic., Australia
Abstract :
In image matching no guarantee can be given that a solution exists, is unique, and is stable. This paper presents a method which utilises knowledge about the object present in two images to establish correspondence between the two images. In addition, the method uses the relative ordering of pixel intensities within a window, rather than the intensity values themselves. Experimental studies show that the proposed method is robust with respect to distortion, tolerates a small amount of random noise, and produces higher numbers of matched pixels than other similar matching methods.
Keywords :
face recognition; identification; image matching; nonparametric statistics; random noise; smart pixels; distortion; image matching; matched pixels identification; nonparametric area based method; random noise; Australia; Face recognition; Fractals; Image matching; Noise robustness; Pattern matching; Pixel; Surface texture;
Conference_Titel :
Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
Print_ISBN :
981-04-8364-3
DOI :
10.1109/ICARCV.2002.1238506