Title :
Video face replacement system using a modified Poisson blending technique
Author :
Afifi, Mahmoud ; Hussain, Khaled F. ; Ibrahim, Hosny M. ; Omar, Nagwa M.
Author_Institution :
Inf. Technol. Dept., Assiut Univ., Assiut, Egypt
Abstract :
In this paper, we present a system for video face replacement that requires only two videos of a source actor and a target actor using only a single digital camera. Existing video face replacement techniques usually need special equipment or 3D models; the proposed system achieves a realistic replacement of faces without using 3D models or special equipment. There are many applications of the proposed system that are presented in this paper using only two footages of actors. We can replace a frontal face with another one; this gives the possibility to change the appearance of actors without makeup or any prior settings. We introduce a new technique for face blending that is based on a gradient domain method called Modified Poisson Blending (MPB) to reduce the bleeding problem of Poisson image editing, and achieve realistic results of face replacement. Experimental results demonstrate that the proposed system using MPB technique produces more realistic results than the results of other cloning techniques.
Keywords :
face recognition; image sensors; stochastic processes; video signal processing; MPB; Poisson image editing; cloning techniques; face blending; frontal face; gradient domain method; modified Poisson blending technique; single digital camera; source actor; target actor; video face replacement system; Cloning; Equations; Face; Hemorrhaging; Image color analysis; Target tracking; Three-dimensional displays; face replacement; image cloning; image processing; interactive image editing; video compositing;
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2014 International Symposium on
Conference_Location :
Kuching
DOI :
10.1109/ISPACS.2014.7024453