Statistical Pattern Recog Review
1 Rejection Based Face Detection Michael Elad* Scientific Computing and Computational Mathematics Stanford University The Computer Vision Workshop March.
1/51 Rejection Based Face Detection Michael Elad* Scientific Computing and Computational Mathematics Stanford University (Gates 282, phone: 723-7685, email:
POWER SYSTEM DYNAMIC SECURITY ASSESSMENT – A.H.M.A.Rahim, S.K.Chakravarthy Department of Electrical Engineering K.F. University of Petroleum and Minerals.
Adaboost and its application 2007.3.2. Outline Introduction Adaboost algorithm Two class and training error Multi-class Application Face detection.
Chapter 18 Image Segmentation 18.1 Introduction – Computer vision; Image understanding; Statistical pattern recognition – The three steps of pattern recognition:
Future Discussion Introduction MethodologyResultsAbstract There are three types of data used in the project. They are IKONOS, ASTER, and Landsat TM, representing.
Object Detection Using the Statistics of Parts Henry Schneiderman Takeo Kanade Presented by : Sameer Shirdhonkar December 11, 2003.
