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