3D positioning and autofocus of the particle field based on the depth-from-defocus method and the deep networks

Accurate three-dimensional positioning of particles is a critical task in microscopic particle research, with one of the main challenges being the measurement of particle depths. In this paper, we propose a method for detecting particle depths from their blurred images using the depth-from-defocus t...

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Autors principals:	Xiaolei Zhang, Zhao Dong, Huaying Wang, Xiaohui Sha, Wenjian Wang, Xinyu Su, Zhengsheng Hu, Shaokai Yang
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2023-01-01
Col·lecció:	Machine Learning: Science and Technology
Matèries:	particle field deep learning 3D reconstruction depth from defocus autofocus
Accés en línia:	https://doi.org/10.1088/2632-2153/acdb2e
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