final presentation for ee7700 dvp shenghua wan and kang zhang may, 2012 3d view simulation based on...
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3D Scene Virtualization Based on Face Tracking
Final Presentation for EE7700 DVP
Shenghua Wan and Kang zhangMay, 2012
3D View Simulation Based on Face TrackingMotivationMulti-touch User InterfacePhysical MotionVirtual Environment
Motion Sensing Game ConsolesWiiKinect
Infrared sensor barInfrared LEDInfrared projector and camera
ObjectiveFace MotionTrackingTranslationsZoom
Virtual 3D Scene Explore3D scenee.g. a Cube with 8 points with different depthvalues.View Simulation
Methodology-Face Tracking 1Haar Cascade Classifier (Viola & Jones 2001)Haar-like featuresIntegral ImageAdaBoost (Freund & Schapire 1995)Cascading
ImplementationOpenCVTrained ClassifierSome Untuned Parameters
Methodology-Face Tracking 2CAMShift( Continuously Adaptive Mean-Shift )AssumptionImage histogram of foreground object is time-invariant.Back ProjectionMean Shift AlgorithmLocate new search window and goto 2ImplementationOpenCVMethodology-Face Tracking 2(cont)Some comments on CAMShiftSensitive and fastNot Robusttend to be interfered by objects with similar color distribution.
facearmfingerseven notebook!Experimental ResultsHuman face moves in real-worldViewpoint moves in the simulated 3D scene as if we are looking at the real-world objects.
Thank you!
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