3D Image Reconstruction from Multi-focus Microscopic Images
Takahiro Yamaguchi, Hajime Nagahara, Ken'ichi Morooka, Yuta Nakashima, Yuki Uranishi, Shoko Miyauchi, Ryo Kurazume
This paper presents a method for reconstructing 3D image from multi-focus microscopic images captured with different focuses. We model the multi-focus imaging by a microscopy and produce the 3D image of a target object based on the model. The 3D image reconstruction is done by minimizing the difference between the observed images and the simulated images generated by the imaging model. Simulation and experimental result shows that the proposed method can generate the 3D image of a transparent object efficiently and reliably.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
He is working on computer vision and pattern recognition. His main research interests lie in image/video recognition and understanding, as well as applications of natural language processing techniques.
Yuta Nakashima is an associate professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.