Curve and surface evolution theory and geometric partial differential equations;
Level set methods; Shape representation, modeling and estimation; Multi-view stereo
reconstruction; Shape from shading;
Structure and motion estimation and its applications in control and robotics;
Image processing: smoothing, enhancement, segmentation and registration;
Human-machine interactions; Image-based modeling and rendering;
Dr. Hailin Jin received his Bachelor's degree in Automation from Tsinghua
University, Beijing, China in 1998. He then received his Master of
Science and Doctor of Science degrees in Electrical Engineering from
Washington University in Saint Louis in 2000 and 2003 repectively.
Between fall 2003 and fall 2004, he was a postdoctoral
researcher at the Computer Science Department, University of
California at Los Angeles. Since October 2004, he has been
with Adobe Systems Incorporated.
He is a member of the IEEE and
the IEEE Computer Society.
|Generic Image Library|
Generic Image Library (GIL) is an open source C++ image-processing
library that I wrote together
with Lubomir Bourdev at Adobe Systems Incorporated. GIL abstracts
image presentations from image-processing algorithms. It is designed
such that its performance is on par with hand-written code for
particular image formats. GIL is part of Boost. GIL is freely
available in a stand-alone version at http://opensource.adobe.com/gil or with Boost at http://www.boost.org.
My GIL tutorial slides for the Open Source Vision Software, Introduction and Training tutorial at CVPR 2010 are available here.
Last updated on March 26, 2013.