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Xing Zhao

Researcher at Nankai University

Publications -  46
Citations -  329

Xing Zhao is an academic researcher from Nankai University. The author has contributed to research in topics: Integral imaging & Image processing. The author has an hindex of 11, co-authored 39 publications receiving 259 citations. Previous affiliations of Xing Zhao include Hong Kong Polytechnic University.

Papers
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Journal ArticleDOI

Model of radial basis functions with slope-based shape factor and distribution for optical freeform surface

TL;DR: In this article, a radial basis function with slope-based shape factor and distribution (RBF-SSD) was proposed to obtain satisfactory performance in characterizing optical freeform surfaces with local features.
Journal ArticleDOI

Detection of 1.4 μg/m3 Na+ in aerosol at a 30 m distance using 1 kHz femtosecond laser filamentation in air.

TL;DR: In this paper , an optimized remote material detection scheme based on the laser filament-induced plasma spectroscopy and light detection and ranging (FIPS-LIDAR) is proposed.
Journal ArticleDOI

Continuous imaging space in three-dimensional integral imaging

TL;DR: This method simultaneously reconstructs real and virtual images in the virtual mode, with a minimum gap that separates the entire imaging space into real andVirtual space, with Experimental results show that the gap is reduced to 45% of that in a conventional integral imaging system with the same parameters.
Patent

Light-operated echo wall mode generating system based on azobenzene material

TL;DR: In this paper, a light-operated echo wall mode generating system based on an azobenzene material is presented, which can achieve the echo wall modes of different optical properties by adjusting the intensity and polarization state of the ultraviolet light and changing the size of the microspherical cavity and the thickness of the thin film.
Proceedings ArticleDOI

A defocus-information-free autostereoscopic three-dimensional (3D) digital reconstruction method using direct extraction of disparity information (DEDI)

TL;DR: This paper presents a generalized and precise autostereoscopic three-dimensional digital reconstruction method based on Direct Extraction of Disparity Information (DEDI) which can be used to any transform autOSTereoscopic systems and provides accurate 3D reconstruction results through error elimination process based on statistical analysis.