Consistent stereo image editing

Authors:
Tao Yan;Shengfeng He;Rynson W.H. Lau;Yun Xu
Affiliations:
University of science and Technology of China and City University of Hong Kong, Suzhou, China;City University of Hong Kong, Hong Kong, Hong Kong;City University of Hong Kong, Hong Kong, Hong Kong;University of Science and Technology of China, Hefei, China
Venue:
Proceedings of the 21st ACM international conference on Multimedia
Year:
2013

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Abstract

Stereo images and videos are very popular in recent years, and techniques for processing this media are attracting a lot of attention. In this paper, we extend the shift-map method for stereo image editing. Our method simultaneously processes the left and right images on pixel level using a global optimization algorithm. It enforces photo consistence between the two images and preserves 3D scene structures. It also addresses the occlusion and disocclusion problem, which may enable many stereo image editing functions, such as depth mapping, object depth adjustment and non-homogeneous image resizing. Our experiments show that the proposed method produces high quality results in various editing functions.