DocumentCode
3407837
Title
Mean-Shift of Variable Window Based on the Epanechnikov Kernel
Author
Guo, Qingchang ; Chang, Xiaojuan ; Chu, Hongxia
Author_Institution
Harbin Eng. Univ., Harbin
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
2314
Lastpage
2319
Abstract
Mean shift is an effectively iterative algorithm, which has been widely used in image processing and computer vision. The monotonicity of the density based on the mean shift of the variable window and the convergence of the mean shift produce are not been strictly proved. The convergence of mean shift produce is proved according to Cauchy Convergence Criterion. The whole increasing of the density according to the Epanechnikov kernel is proved.
Keywords
computer vision; convergence; iterative methods; Cauchy convergence criterion; Epanechnikov kernel; computer vision; image processing; iterative algorithm; mean shift convergence; variable window mean-shift; Automation; Bandwidth; Computer vision; Convergence; Educational institutions; Image processing; Iterative algorithms; Kernel; Mechatronics; Symmetric matrices; convergence; kernel function; mean-shift;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0828-3
Electronic_ISBN
978-1-4244-0828-3
Type
conf
DOI
10.1109/ICMA.2007.4303914
Filename
4303914
Link To Document