Consistent stereo image editing

• Main Authors: YAN, Tao, HE, Shengfeng, LAU, Rynson W.H., Xu, Yun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Depth adjustments; Disocclusion; Global optimization algorithm; High quality; Image resizing; Multi-label optimizations; Non-homogeneous; Stereo-image; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8422; https://ink.library.smu.edu.sg/context/sis_research/article/9425/viewcontent/consistent.pdf
• Institution: Singapore Management University

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.