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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.

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Disparity pattern-based autostereoscopic 3D metrology system for in situ measurement of microstructured surfaces.

TL;DR: Experimental results show that the proposed DPA 3D metrology system is capable of measuring 3D microstructured surfaces with submicrometer measuring repeatability for high precision and in situ measurement of micro structured surfaces.
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Microlens-array-enabled on-chip optical trapping and sorting

TL;DR: An on-chip optical trapping and sorting system composed of a microchamber and a microlens array (MLA) is demonstrated, offering a simple and efficient solution for optical traps and sorting of biological particles in lab-on-a-chip technologies.
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Lensless wide-field single-shot imaging through turbid media based on object-modulated speckles

TL;DR: The object reconstruction with single-shot imaging based on the correlography principle and phase retrieval algorithm with coherent illumination is demonstrated and the possibility of reconstructing positive and negative objects in both transmission and reflection modes with collimated and scattered light is proved.
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Dual-camera enabled real-time three-dimensional integral imaging pick-up and display.

TL;DR: Experimental results show that the fully continuous, real 3D scene pick-up and display system is feasible with a throughput of 8 fps in real time and the theoretical analysis indicates the method is robust to the camera position deviation, which profits the real-time data processing.
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Voxel model for evaluation of a three-dimensional display and reconstruction in integral imaging.

TL;DR: An approximate voxel model for integral imaging is proposed by ray tracing and is simple and easy to calculate and thus useful for the evaluation and optimization of integral imaging systems.