Currently, I am a PhD student of the Computer Graphics group in University of Southern California. I received my master degree and bachelor degree from Department of Computer Science and Technology, Tsinghua University, in 2007 and 2005 respectively.

My research interests include computer graphics and solid modeling.
I am particularly interested in large urban scene reconstruction, cage-based animation, volume-based topology editing and geometry processing.

For more information, please see the research page and the resume page.

Latest Research Project

A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data

IEEE CVPR 2009. (Paper, Video, Poster)
Qian-Yi Zhou and Ulrich Neumann

We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only a temporary storage for ongoing computation, we achieve efficient out-of-core data management. This gives us the ability to handle data sets with hundreds of millions of points in a uniform manner. By adapting a building modeling pipeline into our streaming framework, we create the whole urban model of Atlanta from 17.7GB LiDAR data with 683M points in under 25 hours using less than 1GB memory. To integrate this complex modeling pipeline with our streaming framework, we develop a state propagation mechanism, and extend current reconstruction algorithms to handle the large scale of data.

More projects and publications...