Image/Video Analaysis for Medical Applications
Supported in part by NIH and RIC
Contemporary medical diagnosis is often based on imaging equipments and systems, not only for viewing that is not seen
from human eyes (e.g., CT and MRI), but also for the intensive care of patients. With the advance of the imaging
technology, imaging systems can easily produce an enormous volume of image/video data, so that it is impractical for
medical professionals to handle. But this provides a good opportunity for computer vision: automating some parts of
image/video analysis will be very helpful.
Ying Wu, John Lin and Thomas S. Huang, "Analyzing and Capturing Articulated
Hand Motion in Image Sequences", IEEE Trans. on Pattern Analysis
and Machine Intelligence, Vol.27, No.12, pp.1910-1922, Dec., 2005.
John Lin, Ying Wu, and Thomas S. Huang, ``Articulate Hand Motion Capturing
Based on a Monte Carlo Simplex Tracker", in Proc. 17th Int'l Conf.
on Pattern Recognition (ICPR04), Cambridge, UK, 2004. [PDF]
John Lin, Ying Wu, and Thomas S. Huang, "3D Model-Based Hand Tracking
Using Stochastic Direct Search Method", in Proc. IEEE Int'l Conf.
on Automatic Face and Gesture Recognition (FG04), Seoul, Korea, 2004.
Ying Wu, John Lin and Thomas S. Huang, "Capturing Natural Hand Articulation",
in Proc. IEEE Int'l Conf. on Computer Vision (ICCV'01), Vol.II,
pp.426-432, Vancouver, Canada, July, 2001. [PDF]
John Lin, Ying Wu and Thomas S. Huang, "Modeling Human Hand Constraints",
in Proc. Workshop on Human Motion (Humo2000), Austin, TX, Dec.,
Ying Wu and Thomas S. Huang, "Capturing Articulated Hand
Motion: A Divide-and-Conquer Approach", In Proc. IEEE Int'l Conf.
on Computer Vision (ICCV'99), pp.606-611, Greece, Sept., 1999.
Updated 10/2008. Copyright © 2001-2009 Ying Wu