DocumentCode :
442746
Title :
Threshold dynamics for shape reconstruction and disocclusion
Author :
Esedoglu, Selim ; Ruuth, Steven ; Tsai, Richard
Author_Institution :
Dept. of Math., UCLA, Los Angeles, CA, USA
Volume :
2
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
We propose a very efficient numerical algorithm for minimizing certain curvature dependent functionals that appear in a variety of well known variational models of image processing and computer vision. It has many applications, such as image inpainting, image segmentation, and surface fairing in computer graphics. The proposed algorithm is generalized to continuous interface version that has better resolution while keeping the same formal complexity. As an example, we apply our technique to a shape reconstruction problem based on Euler´s elastica.
Keywords :
image reconstruction; image resolution; image segmentation; numerical analysis; Euler elastica; computer graphics; computer vision; continuous interface version; curvature dependent functionals; image inpainting; image processing; image segmentation; numerical algorithm; shape reconstruction; surface fairing; threshold dynamics; Application software; Computer graphics; Computer vision; Equations; Image processing; Image reconstruction; Image segmentation; Level set; Mathematics; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530102
Filename :
1530102
Link To Document :
بازگشت