Fast, Automatic 3D Modeling of Cities Professor Avideh Zakhor Department of Electrical Engineering and Computer Sciences University of California at Berkeley, USA Abstract: In this talk, I present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for bird's-eye view. A close-range facade model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads; a far-range Digital Surface Map (DSM), containing complementary roof and terrain shape, is created from airborne laser scans, then triangulated, and finally texture mapped with aerial imagery. The facade models are registered with respect to the DSM by using Monte-Carlo-Localization, and then merged with the DSM by removing re-dundant parts and filling gaps. The developed algorithms are evaluated on a data set acquired in downtown Berkeley. Bio: Avideh Zakhor is a Professor in the Department of Electrical Engineering and Computer Sciences. Her research interests are in the general area of image and video processing, multimedia communication, and 3D modeling. Together with her students, She has won a number of best paper awards, including the IEEE Signal Processing Society in 1997, IEEE Circuits and Systems Society in 1997 and 1999, International Conference on Image Processing in 1999, and Packet Video Workshop in 2002. Prof. Zakhor was a General Motors scholar from 1982 to 1983, was a Hertz fellow from 1984 to 1988, and received the Presidential and ONR Young Investigator awards in 1992. In 2001, she was elected as IEEE fellow.