Face Replacement with HOG and SVM
نویسندگان
چکیده
This project is an attempt to completely replace faces in video frames using Support Vector Machines (SVM) as classifiers on Histogram of Oriented Gradients (HOG). We trained an SVM classifier to first identify a face in an image using HOG descriptors and then identify fiducial markers like eyes, nose and mouth in the identified face using Matlab’s Cascade Object Descriptor. Once a convex hull was identified in the target image face, Thin Plate Spline (TPS) morphing, alongwith Gradient Domain Blending, was used to warp features from source image face onto the target frame face.
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