![]() Second approach asks more reading of papers, google on face landmarks. Then match vectors using a distance measure to find the best match. ) creating a unique representation of each mood and fitting a codebook featurevector to it. Detect interesting face points, like nose tip, mouth corners, eye locations, closed/open lids and determine a relation between this elements for each mood.įirst approach is possible by applying an abstract representation of the image (eigenFaces, fisherFaces.Match the head image versus a database of images of emotions, try to find the closest matching element and assign the same classification/label.Once you have detected the region you can go to psosible directions For the first item, you can simply use the Viola&Jones platform, which is available in OpenCV, and which can be easily adapted to match your needs. ![]()
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