3D Vision in a Changing World


July 3, 2013


Andrew Fitzgibbon




3D reconstruction from images has been a tremendous success-story of computer vision, with city-scale reconstruction now a reality. However, these successes apply almost exclusively in a static world, where the only motion is that of the camera. Even with the advent of realtime depth cameras, full 3D modelling of dynamic scenes lags behind the rigid-scene case, and for many objects of interest (e.g. animals moving in natural environments), depth sensing remains challenging. In this talk, I will discuss a range of recent work in the modelling of nonrigid real-world 3D shape from 2D images, for example building generic animal models from internet photo collections. While the state of the art depends heavily on dense point tracks from textured surfaces, I will talk about recovering shape from largely textureless objects such as dolphins, by incorporating the strong constraints given by the object’s silhouette.


Andrew Fitzgibbon

Andrew Fitzgibbon is a Royal Society University Research fellow working in Oxford University’s Visual Geometry Group. Following undergraduate work at the National University of Ireland, he received his PhD from Edinburgh University in 1997. He has twice received the IEEE’s Marr Prize and software based on his work won an Engineering Emmy Award in 2002 for significant contributions to the creation of complex visual effects. His research interests are in the intersection of computer vision and computer graphics, with excursions into neuroscience.