Computational imaging is to enhance the dimensionality of light field information acquisition in order to realize "higher, wider, distant, more robust, smaller" imaging detection. By establishing the mapping relationship between the three-dimensional shape and the polarization degree and polarization angle, the three-dimensional imaging of a single photo can be realized.

In this webinar hosted by the Polarization Technical Group, Xiaopeng Shao will introduce the mechanism of polarized 3D imaging through the overview of computational imaging technology and introduce the application of polarized 3D imaging in the fields of mapping and rapid generation of geographic information through the development of polarized 3D imaging satellite payload. Aiming at the technical challenges faced by the polarized 3D imaging technology, the optimal polarization detection system and how to recover the polarization characteristics with high precision under low signal-to-noise ratio conditions are proposed. Finally, scattering imaging, industrialized application of computational optics detection, computational optics system design, wide-area intelligent surveillance camera and other related contents are also introduced.

Subject Matter Level: Intermediate - Assumes basic knowledge of the topic

What You Will Learn:
• Computational optics
• Matter interacting with light waves
• Novel applications and opportunities in optical technology

Who Should Attend:
• PhD Student
• Faculty
• Industry from relevant background

About the Presenter: Xiaopeng Shao from Xidian University

Prof. Xiaopeng Shao has a PhD from Xidian University and joined Xidian University in 2010, where he established the Computational Imaging Research Laboratory. Now he is a full professor and the dean of the School of Optoelectronic Engineering. His work has impacted several areas of optical science, from scattering, polarization and bio-optics to engineering optics. Among his many accomplishments, Prof. Shao was awarded the Technological Invention Award in 2023 for his contributions to the field of optically polarized stereo imaging, including the development of a platform for polarized stereo imaging in passive environments, the extension of active, multiview stereo imaging to single-view and passive measurements and the demonstration of its potential as a new tool for high-precision stereo imaging for remote sensing and the development of a new concept for polarization in classical optics for multi spectrally integrated measurements.