Merging Ratio Images Based Realistic Object Class Re-Rendering (WP-P9)

Author(s) : Yun Fu (Institute of Artificial Intelligence and Robotics(AI&R), Xi'an Jiaotong University, China)

Abstract : The Merging Ratio Image(MRI) for realistic object class re-rendering is presented and applied to human face image. We focus on the Lambertian object class and utilize a uniform ratio image scheme¨DMerging Ratio Image¨Dto combine the Expression Ratio Image, Ageing Ratio Image, and Illumination Ratio Image(Quotient Image), which exhibits a new facial model quality. Given a single face image and some other photorealistic face examples with distinct attributes, such as aged wrinkles, expressive feature motions, and certain lighting conditions, we generate expressive expressions, natural ageing, rejuvenating and varying illuminations with MRI rendering technique. Experimental results demonstrate the attractive properties of our method with some face examples from MPI Caucasian Face Database and AI&R Asian Face Database.

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