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Computer Vision Lab

Our on-going research and development projects in lab.
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Circle Object Detector

An adjustable threshold circle detector that is able to count the number of circle object in a given frame. Detection was done with hough circle transform while tracking was fulfilled with Lucas Kanade optical flow.

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Augmented Reality Framework

A robust Augmented Reality Framework (NFAR) using natural features tracking. Rich multimedia contents such as video, pictures, static or animated 3D models can be rendered into a recognized marker, or card by the system.

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