Multi-target detection with rotations
| العنوان: | Multi-target detection with rotations |
|---|---|
| المؤلفون: | Tamir Bendory, Ti-Yen Lan, Nicholas F. Marshall, Iris Rukshin, Amit Singer |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Control and Optimization, Modeling and Simulation, Computer Vision and Pattern Recognition (cs.CV), Computer Science::Computer Vision and Pattern Recognition, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics, Electrical Engineering and Systems Science - Image and Video Processing, Statistics - Computation, Analysis, Computation (stat.CO) |
| الوصف: | We consider the multi-target detection problem of estimating a two-dimensional target image from a large noisy measurement image that contains many randomly rotated and translated copies of the target image. Motivated by single-particle cryo-electron microscopy, we focus on the low signal-to-noise regime, where it is difficult to estimate the locations and orientations of the target images in the measurement. Our approach uses autocorrelation analysis to estimate rotationally and translationally invariant features of the target image. We demonstrate that, regardless of the level of noise, our technique can be used to recover the target image when the measurement is sufficiently large. 20 pages, 5 figures |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b548db97d20218a02ad1813622f29ba http://arxiv.org/abs/2101.07709 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....3b548db97d20218a02ad1813622f29ba |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |