Common self-polar triangle of separate circles for light field camera calibration

Due to the trade-off between spatial resolution and angular resolution of the light field, it is difficult to extract high precision corner points and line features from light fields for calibration. A novel calibration pattern of separate circles is designed, and a light field camera calibration me...

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Format: Article
Language:zho
Published: The Northwestern Polytechnical University 2021-06-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2021/03/jnwpu2021393p521/jnwpu2021393p521.html
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spelling doaj-0fb1e0f1f07e43c6aca1c4401655f7f12021-08-10T11:25:10ZzhoThe Northwestern Polytechnical UniversityXibei Gongye Daxue Xuebao1000-27582609-71252021-06-0139352152810.1051/jnwpu/20213930521jnwpu2021393p521Common self-polar triangle of separate circles for light field camera calibration01School of Computer Science, Northwestern Polytechnical UniversitySchool of Computer Science, Northwestern Polytechnical UniversityDue to the trade-off between spatial resolution and angular resolution of the light field, it is difficult to extract high precision corner points and line features from light fields for calibration. A novel calibration pattern of separate circles is designed, and a light field camera calibration method based on common self-polar triangle with respect to separate circles is proposed in this paper. First, we explore the uniquity and reconstruction of common self-polar triangle with respect to sperate circles. Then, based on projections of the multi-projection-center model on the plane and conic, the common self-polar triangle on the sub-aperture image is reconstructed and used to estimate planar homography. Finally, a light field camera calibration algorithm is then proposed, including linear initialization and non-linear optimization. Experimental results on both synthetic and real data have verified the effectiveness and robustness of the method and algorithm proposed.https://www.jnwpu.org/articles/jnwpu/full_html/2021/03/jnwpu2021393p521/jnwpu2021393p521.htmllight field camera calibrationself-polar triangleseparate circlescommon self-polar triangle of separate circlesalgorithm
collection DOAJ
language zho
format Article
sources DOAJ
title Common self-polar triangle of separate circles for light field camera calibration
spellingShingle Common self-polar triangle of separate circles for light field camera calibration
Xibei Gongye Daxue Xuebao
light field camera calibration
self-polar triangle
separate circles
common self-polar triangle of separate circles
algorithm
title_short Common self-polar triangle of separate circles for light field camera calibration
title_full Common self-polar triangle of separate circles for light field camera calibration
title_fullStr Common self-polar triangle of separate circles for light field camera calibration
title_full_unstemmed Common self-polar triangle of separate circles for light field camera calibration
title_sort common self-polar triangle of separate circles for light field camera calibration
publisher The Northwestern Polytechnical University
series Xibei Gongye Daxue Xuebao
issn 1000-2758
2609-7125
publishDate 2021-06-01
description Due to the trade-off between spatial resolution and angular resolution of the light field, it is difficult to extract high precision corner points and line features from light fields for calibration. A novel calibration pattern of separate circles is designed, and a light field camera calibration method based on common self-polar triangle with respect to separate circles is proposed in this paper. First, we explore the uniquity and reconstruction of common self-polar triangle with respect to sperate circles. Then, based on projections of the multi-projection-center model on the plane and conic, the common self-polar triangle on the sub-aperture image is reconstructed and used to estimate planar homography. Finally, a light field camera calibration algorithm is then proposed, including linear initialization and non-linear optimization. Experimental results on both synthetic and real data have verified the effectiveness and robustness of the method and algorithm proposed.
topic light field camera calibration
self-polar triangle
separate circles
common self-polar triangle of separate circles
algorithm
url https://www.jnwpu.org/articles/jnwpu/full_html/2021/03/jnwpu2021393p521/jnwpu2021393p521.html
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