DocumentCode
1467992
Title
Shape-From-Focus by Tensor Voting
Author
Hariharan, R. ; Rajagopalan, A.N.
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India
Volume
21
Issue
7
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
3323
Lastpage
3328
Abstract
In this correspondence, we address the task of recovering shape-from-focus (SFF) as a perceptual organization problem in 3-D. Using tensor voting, depth hypotheses from different focus operators are validated based on their likelihood to be part of a coherent 3-D surface, thereby exploiting scene geometry and focus information to generate reliable depth estimates. The proposed method is fast and yields significantly better results compared with existing SFF methods.
Keywords
computer vision; image reconstruction; tensors; SFF methods; coherent 3D surface; computer vision; depth hypotheses; perceptual organization problem; scene geometry; shape-from-focus recovery; tensor voting; Estimation; Laplace equations; Organizations; Reliability; Shape; Surface treatment; Tensile stress; Focus operators; real-aperture camera; shape-from-focus (SFF); tensor voting (TV);
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2012.2190612
Filename
6168261
Link To Document