As high brightness of laser spot, it significantly distinguish from the other goals on objects surface.
Therefore, in computer vision, laser spot often is applied as interaction tools, and an important
measurement tool etc. In building large-scale multi-projection display system, accurate measurement of
geometrical parameters is very important. Based on subdivision mesh, this paper presents laser spot
tracking algorithm with sub-pixel precision. The experimental data validates this algorithm sub-pixel
In modern ITS (Intelligent Transportation Systems), the close shot images captured by camera are used to precise
recognition of information of vehicles such as VLP (vehicle license plate), VS(vehicle shape) , VBC(vehicle body color)
and etc. The precise recognition of vehicle information seriously depends upon quality of images captured by camera.
The assessment of image quality is a meaningful work, which can be used to monitor the working state and adjust the
control parameters of camera, further more can guide the recognition of information of vehicle. This paper proposes a
novel content-based method of assessing images quality for close shot ones in ITS . The method is objective image
quality assessment without reference image, which is point to single image. The assessment includes distortion type and
distortion amount. Experiments show the method is valid and robust.