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Abstract:
"Can you imagine?" "Yes, I see ......"
In human language mental imagery seems to be a natural ability. Imagery is often discussed as one of the basic forms of human cognition for the analysis of situations or scenes.
In my talk I will present a computational model for synthesizing new images of a faces, when only a single image of the face is available. New images of the face can be generated across changes in viewpoint, in illumination and in facial expressions? The approach presented acquires its knowledge about possible image changes from other faces and transfers this prior knowledge to a novel face image.
A general flexible face model is "learned" either from examples of images or from 3D-data (Cyberware-scans) of a large dataset of faces. In an analysis-by-synthesis loop the flexible face model is matched to the novel face image, thereby parameterizing the novel image in terms of the known face model. Variation of the model parameters, similar to multidimensional morphing, allows for generating new photorealistic images of the face.
