Type of Document	Dissertation
Author	Qian, Jianzhong
URN	etd-07112007-092846
Title	Uncertainty reasoning in hierachical visual evidence space
Degree	Ph. D.
Department	Electrical Engineering
Advisory Committee	Advisor Name Title Roger Ehrich Committee Chair
Keywords	Computer vision Research.
Date of Defense	1990-04-01
Availability	restricted
Abstract One of the major problems in computer vision involves dealing with uncertain information. Occlusion, dissimilar views, insufficient illumination, insufficient resolution, and degradation give rise to imprecise data. At the same time, incomplete or local knowledge of the scene gives rise to imprecise interpretation rules. Uncertainty arises at different processing levels of computer vision either because of the imprecise data or because of the imprecise interpretation rules. It is natural to build computer vision systems that incorporate uncertainty reasoning. The Dempster-Shafer (D-S) theory of evidence is appealing for coping with uncertainty hierarchically. However, very little work has been done to apply D-S theory to practical vision systems because some important problems are yet to be resolved.
Files	Filename       Size       Approximate Download Time (Hours:Minutes:Seconds)     28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access  LD5655.V856_1990.Q536.pdf 79.58 Mb 06:08:25 03:09:28 02:45:47 01:22:53 00:07:04 next to an author's name indicates that all files or directories associated with their ETD are accessible from the Virginia Tech campus network only.

If you have questions or technical problems, please Contact DLA.