Shape from Focus Using Multilayer Feedforward Neural Networks
Summary :
The conventional shape from focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a more accurate scheme for SFF based on representation of three-dimensional FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.
- Publication
- IEICE TRANSACTIONS on Information Vol.E83-D No.4 pp.946-949
- Publication Date
- 2000/04/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Image Processing, Image Pattern Recognition
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Muhammad ASIF, Tae-Sun CHOI, "Shape from Focus Using Multilayer Feedforward Neural Networks" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 4, pp. 946-949, April 2000, doi: .
Abstract: The conventional shape from focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a more accurate scheme for SFF based on representation of three-dimensional FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_4_946/_p
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@ARTICLE{e83-d_4_946,
author={Muhammad ASIF, Tae-Sun CHOI, },
journal={IEICE TRANSACTIONS on Information},
title={Shape from Focus Using Multilayer Feedforward Neural Networks},
year={2000},
volume={E83-D},
number={4},
pages={946-949},
abstract={The conventional shape from focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a more accurate scheme for SFF based on representation of three-dimensional FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Shape from Focus Using Multilayer Feedforward Neural Networks
T2 - IEICE TRANSACTIONS on Information
SP - 946
EP - 949
AU - Muhammad ASIF
AU - Tae-Sun CHOI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2000
AB - The conventional shape from focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a more accurate scheme for SFF based on representation of three-dimensional FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.
ER -
English
