ORIGINAL APPROACH FOR THE LOCALIZATION OF OBJECTS IN IMAGES

An original approach is presented for the localisation of objects in a n image which approach is neuronal and has two steps. In the first ste p, a rough localisation is performed by presenting each pixel with its neighbourhood to a neural net which is able to indicate whether this pixel and its neighbourhood are the image of the search object. This f irst filter does not discriminate for position. From its result, areas which might contain an image of the object can be selected. In the se cond step,these areas are presented to another neural net which can de termine the exact position of the object in each area. This algorithm is applied to the problem of localising faces in images.