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Slide 1Slide 2Slide 3Slide 4Slide 5Slide 6Slide 7Slide 8ECE533 – Image Processing ProjectFace Recognition TechniquesEntertainement: Virtual RealitySmart Cards: Drivers’ licenseInfo Security: Parental ControlLaw Enforcement: CCTV controlAlgorithm 1: Face recognition using eigenfaces1. Calculate eigenfaces from the set of images 2. New image  calculate its set of weights.3. Determine if the image is a face.4. Determine if the image corresponds to a known face of the database of not.MnTnnMC11 MT...,21 kk• Correlation matrix:• Vector of weights:• Euclidean distance:Algorithm 2: Face recognition using line edge map• It represents face features• Sobel edge detection algorithm • Low memory requirements    ljliljliljliljlitmdtmdtmdtmd,,,,Line Segment Hausdorff Distance (LHD)       llllllpLHDMThTMhTMH ,,,max,    ljliTtMmmMmmlltmdllTMhlljillilillili,min1,• LHD:• pLHD:ResultsMethodVariation Eigenfaces LEMLighting 96% aprox 90%Size 64% 96.4%Pose 85% aprox


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UW-Madison ECE 533 - Face Recognition Techniques

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