Jyh-Ming Lien
Postdoctoral Researcher


address: Room 475
Hearst Memorial Mining Building
University of California
Berkeley
url: http://www.eecs.berkeley.edu/~neilien/
email: jyh-ming-lien /at/ berkeley /dot/ edu
phone: (510) 642-7512

Lien, Jyh-Ming is a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at University of California at Berkeley. He currently works in the Tele-Immersion ( TI ) project with Prof. Ruzena Bajcsy.

Before joining the TI project, he was a Ph.D. student in the Algorithms & Applications Group in Parasol Lab working with Prof. Nancy Amato. Most of his Ph.D. work can be found at http://parasol.tamu.edu/~neilien.

In January 2007, Lien will join the Department of Computer Science at the George Mason University.

Lien's research is in the areas of computational geometry, computer graphics, and robotics.

Jyh-Ming Lien [ Research | Publications | Conferences | Seminars ]
Research (my earlier work at Parasol Lab can be found here).

Tele-Immersion [ publications ]

Model Driven Compression of 3-D Tele-Immersion Data

Data captured by a Tele-Immersion (TI) system can be very large. Compression is usually needed to ensure real-time data transmission. Our compression method takes advantage of prior knowledge of objects, e.g. human figures, in the TI environments and represents their motions using just a few parameters. The main steps of our approach include: motion estimation and residual computation as shown in the figure above. The proposed compression method provides tunable and high compression ratios (from 50:1 to 5000:1) with reasonable reconstruction quality. Moreover, the proposed method can estimate motions from the noisy data captured by our TI system in real time.

See our results: avi (73.3 MB), divx avi (27.2 MB)