Optimizing Image Focus for Shape From Focus Through Locally Weighted Non-Parametric Regression

Title
Optimizing Image Focus for Shape From Focus Through Locally Weighted Non-Parametric Regression
Authors
장훈석Mannan Saeed MuhammadTae-Sun Choi
Keywords
Shape from Focus (SFF); 3D shape recovery; focus measure; focus curve; local regression
Issue Date
2019-06
Publisher
IEEE Access
Citation
VOL 7-74400
Abstract
Shape from focus is a passive optical technique that uses multiple images with different focus levels. To compute the sharpness of each pixel in the image sequence, obtained by translating the object plane at a constant step size along the optical axis, focus measure operators are used. However, the focus measure operators do not provide the accurate focus value of the center pixel due to information loss between consecutive frames. In this paper, a local regression is proposed as a new tting method for the focus curves. This method ts the focus curves, obtained by using one of the focus measure operators, by utilizing the weighted least squares regression as non-parametric regression. The experiments are performed on synthetic and real objects to demonstrate the effectiveness of the proposed method.
URI
http://pubs.kist.re.kr/handle/201004/70447
ISSN
2169-3536
Appears in Collections:
KIST Publication > Article
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