Structure tensor analysis on epipolar plane images (EPIs) is a successful approach to estimate disparity from a light field, i.e. a dense set of multi-view images. However, the disparity range allowable for the light field is limited because the estimation becomes less accurate as the range of disparities become larger. To overcome this limitation, we developed a new method called sheared EPI analysis, where EPIs are sheared before the structure tensor analysis. The results of analysis obtained with different shear values are integrated into a final disparity map through a smoothing process, which is the key idea of our method. In this paper, we closely investigate the performance of sheared EPI analysis and demonstrate the effectiveness of the smoothing process by extensively evaluating the proposed method with 15 datasets that have large disparity ranges.
Takahiro SUZUKI
Nagoya University
Keita TAKAHASHI
Nagoya University
Toshiaki FUJII
Nagoya University
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Takahiro SUZUKI, Keita TAKAHASHI, Toshiaki FUJII, "Sheared EPI Analysis for Disparity Estimation from Light Fields" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 9, pp. 1984-1993, September 2017, doi: 10.1587/transinf.2016PCP0004.
Abstract: Structure tensor analysis on epipolar plane images (EPIs) is a successful approach to estimate disparity from a light field, i.e. a dense set of multi-view images. However, the disparity range allowable for the light field is limited because the estimation becomes less accurate as the range of disparities become larger. To overcome this limitation, we developed a new method called sheared EPI analysis, where EPIs are sheared before the structure tensor analysis. The results of analysis obtained with different shear values are integrated into a final disparity map through a smoothing process, which is the key idea of our method. In this paper, we closely investigate the performance of sheared EPI analysis and demonstrate the effectiveness of the smoothing process by extensively evaluating the proposed method with 15 datasets that have large disparity ranges.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016PCP0004/_p
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@ARTICLE{e100-d_9_1984,
author={Takahiro SUZUKI, Keita TAKAHASHI, Toshiaki FUJII, },
journal={IEICE TRANSACTIONS on Information},
title={Sheared EPI Analysis for Disparity Estimation from Light Fields},
year={2017},
volume={E100-D},
number={9},
pages={1984-1993},
abstract={Structure tensor analysis on epipolar plane images (EPIs) is a successful approach to estimate disparity from a light field, i.e. a dense set of multi-view images. However, the disparity range allowable for the light field is limited because the estimation becomes less accurate as the range of disparities become larger. To overcome this limitation, we developed a new method called sheared EPI analysis, where EPIs are sheared before the structure tensor analysis. The results of analysis obtained with different shear values are integrated into a final disparity map through a smoothing process, which is the key idea of our method. In this paper, we closely investigate the performance of sheared EPI analysis and demonstrate the effectiveness of the smoothing process by extensively evaluating the proposed method with 15 datasets that have large disparity ranges.},
keywords={},
doi={10.1587/transinf.2016PCP0004},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Sheared EPI Analysis for Disparity Estimation from Light Fields
T2 - IEICE TRANSACTIONS on Information
SP - 1984
EP - 1993
AU - Takahiro SUZUKI
AU - Keita TAKAHASHI
AU - Toshiaki FUJII
PY - 2017
DO - 10.1587/transinf.2016PCP0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2017
AB - Structure tensor analysis on epipolar plane images (EPIs) is a successful approach to estimate disparity from a light field, i.e. a dense set of multi-view images. However, the disparity range allowable for the light field is limited because the estimation becomes less accurate as the range of disparities become larger. To overcome this limitation, we developed a new method called sheared EPI analysis, where EPIs are sheared before the structure tensor analysis. The results of analysis obtained with different shear values are integrated into a final disparity map through a smoothing process, which is the key idea of our method. In this paper, we closely investigate the performance of sheared EPI analysis and demonstrate the effectiveness of the smoothing process by extensively evaluating the proposed method with 15 datasets that have large disparity ranges.
ER -