Detecting photographic composites using two-view geometrical constraints

Authors:
Wei Zhang;Xiaochun Cao;Zhiyong Feng;Jiawan Zhang;Ping Wang
Affiliations:
School of Computer Science and Technology, Tianjin University, China;School of Computer Science and Technology, Tianjin University, China;School of Computer Science and Technology, Tianjin University, China;School of Computer Science and Technology, Tianjin University, China;School of Science, Tianjin University, China
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

In this work, we describe a new technique for detecting image composites by enforcing two-view geometrical constrains: H and F constraints on image pairs, where H denotes the planar homography matrix and F the fundamental matrix. Our approach detects fake regions efficiently on pictures taken at the same scene but with different camera configurations. Performance of this approach is demonstrated on real image pairs with visually plausible composites.