2012 Poster Sessions : Acquisition of 3D Indoor Environments with Variability and Repetition

Student Name : Young Min Kim
Advisor : Leo Guibas
Research Areas: Graphics/HCI
We exploit the special structure of indoor environments to accelerate their 3D acquisition and recognition with a low-end handheld scanner in a cluttered indoor environment. Our two-phase approach uses a learning phase to acquire 3D models of frequently occurring objects and capture their variability modes from only a few scans. Then we use a recognition phase, where from a single scan of new areas, we identify previously seen objects, but in varying poses and locations.

Young Min Kim received the Bachelor of Science in Electrical Engineering from Seoul National University in 2006, and an MS degree in Electrical Engineering from Stanford University in 2008. Since Jan 2007, she has been a Ph.D. candidate at Stanford University. Her research interests include real-time 3D sensors and understanding indoor environment.