Department of Computer Engineering2024-11-092006978-1-4244-0238-0N/Ahttps://hdl.handle.net/20.500.14288/15094This paper addresses 3D reconstruction and modeling of time-varying real objects using multicamera video. The work consists of two phases. In the first phase, the initial shape of the object is recovered from its silhouettes using a surface deformation model. The same deformation model is also employed in the second phase to track the recovered initial shape through the time-varying silhouette information by surface evolution. The surface deformation/evolution model allows us to construct a spatially and temporally smooth surface mesh representation having fixed connectivity. This eventually leads to an overall space-time representation that preserves the semantics of the underlying motion and that is much more efficient to process, to visualize, to store and to transmit.Computer ScienceArtificial intelligenceElectrical electronics engineeringImaging systemsPhotographyConference proceeding2453478002317062