Point Cloud Compression and Communication

Speaker:        Dr. Zhu Li
                University of Missouri, Kansas City

Title:          "Point Cloud Compression and Communication"

Date:           Friday, 18 January 2019

Time:           11:00am - 12 noon

Venue:          Room 5510 (via lift 25/26), HKUST

Abstract:

Point cloud data arise from depth sensing and capturing for both auto
driving/navigation/smart city, as well as content capture and VR/AR
playback applications. Recent advances in sensor technology and
algorithms, especially 77Ghz MIMO radar systems, and high resolution
structured light in conjunction with very high resolution RGB camera
arrays, have made point cloud capture getting closer to real world
applications. In this talk I will overview the related research at the
Multimedia Computing & Communication Lab at UMKC, in conjunction with our
industry partners for the auto driving thrusts at the new NSF Center for
Big Learning, and discuss the main technical challenges in point cloud
capture, compression and communication for auto driving and smart city
applications,  especially the static and dynamic geometry compression, as
well as attributes compression problems, and the new graph signal
processing tools that can bring new coding efficiency. Some initial
results will be presented and discussed, as well as the upcoming MPEG
Point Cloud Compression call for proposal and results.


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Biography:

Zhu Li is an associated professor with the Dept of CSEE, University of
Missouri, Kansas City, USA, directs the new NSF I/UCRC Center for Big
Learning at UMKC.  He received his PhD from Electrical & Computer
Engineering from Northwestern University in 2004, and was AFRL Summer
Visiting Faculty at the US Air Force Academy, UAV Research Center, 2016,
2017 and 2018, Sr. Staff Researcher/Sr. Manager with Samsung Research
America's Multimedia Core Standards Research Lab in Dallas, from
2012-2015, Sr.Staff Researcher with FutureWei(Huawei)'s Media Lab in
Bridgewater, NJ, from 2010-2012,  Assistant Professor with the Dept of
Computing, The Hong Kong Polytechnic University from 2008 to 2010, and a
Principal Staff Research Engineer with the Multimedia Research Lab (MRL),
Motorola Labs, Schaumburg, Illinois, from 2000 to 2008. His research
interests include image/video analysis, compression, and communication and
associated optimization and machine learning tools. He has 46 issued or
pending patents, 100+ publications in book chapters, journals, conference
proceedings and standards contributions in these areas. He received a Best
Paper Award from IEEE Int'l Conf on Multimedia & Expo (ICME) at Toronto,
2006, and a Best Paper Award from IEEE Int'l Conf on Image Processing
(ICIP) at San Antonio, 2007.