Figure 1From: Multi-scale elastic graph matching for face detection An overview of the face detection process. An input (I) image is resized to 60 ×60 pixels while the model (M) image is down-sampled from 60 ×60 pixels with a 0 2 s where s=0,…,5 and 0<a 0<1. The Gabor features are extracted from these images so that each filtered image M, on which a square graph is set up, scans over image I to calculate similarities between them. A similarity map pyramid is then formed to select several candidate locations that can be expected as highly similar to the M feature representation. Finally, the EGM for each candidate is pursued to single out the most likely location.Back to article page