Application and Evaluation of the Common Circles Method
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
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| _version_ | 1866915807265554432 |
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| author | Quellmalz, Michael Løvmo, Mia Kvåle Moser, Simon Strasser, Franziska Ritsch-Marte, Monika |
| author_facet | Quellmalz, Michael Løvmo, Mia Kvåle Moser, Simon Strasser, Franziska Ritsch-Marte, Monika |
| contents | We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter sized biological tissue. When samples are confined via contact-free acoustical force fields, their motion must be estimated from the captured images. The common circle method identifies intersections of Ewald spheres in Fourier space to determine rotational motion. This paper presents a practical implementation, incorporating temporal consistency constraints to achieve stable reconstructions. Our results on both simulated and real-world data demonstrate that the common circle method provides a computationally efficient alternative to full optimization methods for motion detection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_17353 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Application and Evaluation of the Common Circles Method Quellmalz, Michael Løvmo, Mia Kvåle Moser, Simon Strasser, Franziska Ritsch-Marte, Monika Numerical Analysis Computer Vision and Pattern Recognition We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter sized biological tissue. When samples are confined via contact-free acoustical force fields, their motion must be estimated from the captured images. The common circle method identifies intersections of Ewald spheres in Fourier space to determine rotational motion. This paper presents a practical implementation, incorporating temporal consistency constraints to achieve stable reconstructions. Our results on both simulated and real-world data demonstrate that the common circle method provides a computationally efficient alternative to full optimization methods for motion detection. |
| title | Application and Evaluation of the Common Circles Method |
| topic | Numerical Analysis Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2602.17353 |