In recent years, a collection of new techniques which deal with video as input data, emerged in computer graphics and visualization. In this survey, we report the state of the art in video-based graphics and video visualization. We provide a comprehensive review of techniques for making photo

Abstract not found

In recent years, a collection of new techniques which deal with video as input data, emerged in computer graphics and visualization. In this survey, we report the state of the art in video-based graphics and video visualization. We provide a review of techniques for making photo

Abstract In recent years, a collection of new techniques which deal with video as input data

In recent years, a collection of new techniques, which deal with videos as the input data, emerged in computer graphics and visualization. In this survey, we report the state of the art in video-based graphics and video visualiza-tion. We provide a comprehensive review of techniques for making

and render moving humans. In this Chapter, we will outline that a joint solution to the acquisition, the reconstruction, and the rendering problem paves the trail for video-based capturing and rendering of people. We present a model-based system to create realistic 3D videos of human actors that puts

representations and reconstruction algorithms, including volumetric represen-tations, layered plane-plus-parallax representations (including the recovery of transparent and reflected layers), and multiple depth maps. The paper also presents our work in video-based rendering, in which we synthesize novel video

the environment to be displayed consists of polygons many of whose relative geometric relations are static, we attempt to capitalize on this by pre processing tile environment,s database so as to decrease the run-time computations required to generate a scene. This preprocessing is based on generating a &

of special pens or erasers. However, currently these systems are only capable to interpret some special graphical symbols and can not produce transcripts of the documents written on them. As a major advancement beyond the state-of-the-art we propose a system for automatic video-based reading of unconstrained

in real time yet not absorb a major share of computational resources: other tasks must be able to run while the visual interface is being used. The new algorithm developed here is based on a robust nonparametric technique for climbing density gradients to find the mode (peak) of probability distributions