Title :
Merging ratio images based realistic object class re-rendering
Author_Institution :
Inst. of Artificial Intelligence & Robotics, Xi´´an Jiaotong Univ., 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 - merging ratio image - to merge 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.
Keywords :
image processing; lighting; rendering (computer graphics); visual databases; Caucasian face database; Lambertian object class; aged wrinkles; ageing ratio image; expression ratio image; expressive expressions; expressive feature motions; facial model quality; human face image; illumination ratio image; merging ratio images; natural ageing; realistic object class rerendering; rejuvenating; rendering technique; uniform ratio image scheme; varying illuminations; Aging; Face; Humans; Image databases; Lighting; Magnetic resonance imaging; Merging; Reflectivity; Rendering (computer graphics); Spatial databases;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421876