From Ali Osman Ulusoy, Octavian Biris, Joseph Mundy of Brown University:

This paper presents a probabilistic volumetric frame- work for image based modeling of general dynamic 3-d scenes. The framework is targeted towards high quality modeling of complex scenes evolving over thousands of frames. Extensive storage and computational resources are required in processing large scale space-time (4-d) data. Existing methods typically store separate 3-d models at each time step and do not address such limitations. A novel 4-d representation is proposed that adaptively subdivides in space and time to explain the appearance of 3-d dynamic surfaces. This representation is shown to achieve compres- sion of 4-d data and provide efficient spatio-temporal pro- cessing. Theadvancesoftheproposedframeworkisdemon- strated on standard datasets using free-viewpoint video and 3-d tracking applications.... (full paper)