Experimental results with quantitative performance evaluations demonstrate the effectiveness of these methods in generating high fidelity 3D video from multi-view video images. In this paper, we propose: (1) a PC cluster system for real-time reconstruction of dynamic 3D object action from multi-view video images, (2) a deformable 3D mesh model for reconstructing the accurate dynamic 3D object shape, and (3) an algorithm of rendering natural-looking texture on the 3D object surface from the multi-view video images. Its applications cover wide varieties of personal and social human activities: entertainment (e.g., 3D game and 3D TV), education (e.g., 3D animal picture books), sports (e.g., sport performance analysis), medicine (e.g., 3D surgery monitoring), culture (e.g., 3D archive of traditional dances), and so on. Achieved experimental results certified the ability of the presented system for real-time applications.ģD video is the ultimate image media recording dynamic visual events in the real world as is it records time varying 3D object shape with high fidelity surface properties (i.e., color and texture). Chosen image registering and fusion procedures have been implemented to proof technical quality of the system. Some substantial reasons for this have been presented in this paper. Mixed solutions, based on applications of multiple FPGA and DSP processors, after discussion, have been rejected in spite of insufficient computational power. The proposed structure of the hardware is very clear and compact. Principally, the system was build around single, low power FPGA core. Overview and discussion of the hardware structure of the UFO system is presented. Therefore, much effort has been spent to ensure appropriate low power consumption and robustness against harsh environments. Of course, it can be also used on fixed platforms as well.

System UFO is principally suited for mobile applications.

The real-time hardware system called UFO intended for high quality registering and fusion of infrared (IR) and visible (VIS) images is presented in this paper.

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