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...
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 |
id |
doaj-0fb1e0f1f07e43c6aca1c4401655f7f1 |
---|---|
record_format |
Article |
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 |
_version_ |
1721212151928979456 |