As a graduate student, my interest lies in tackling fluid dynamic problems by leveraging my expertise in computer vision, 3D reconstruction, and multi-sensor 3D vision. My primary focus revolves around developing a speedy and resilient light field camera system and designing algorithms capable of executing real-time flow diagnostics. I possess a range of technical skills, including expertise in programming languages such as C++, Python, and CUDA, proficiency in utilizing OpenCV, OpenGL, and CAD, and experie
I have designed a user-friendly software that can perform multi-size object 3D tracking, as well as calibrate a 4-camera system using DLT algorithm and bundle adjustment optimized linear calibration, with the aid of a charuco board. The user interface for tuning all detectors and reconstructors is conveniently available under the Jupyter Notebook widget.
Simulate Ray tracing processing, contributing to 3D reconstrcution of micro light filed lens. The CUDA optimized ray intersection link for real time 3D reconstruction. The published paper link . This project has been expanded to include a macro lens, and further optimized to enable sub-voxel resolution for real-time reconstruction. on-going project