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- Title
Fast interactive stereo image segmentation.
- Authors
Ma, Wei; Yang, Luwei; Zhang, Yu; Duan, Lijuan
- Abstract
The paper presents an approach to cutting out the same target object from a pair of stereo images interactively. With this approach, a user labels parts of the object and background in either of the images with strokes. The approach generates a segmentation result immediately. In case it is not satisfying, the result can be improved by interactively drawing more strokes, or using an alternative interaction way called adding corresponding points, which is first presented in this paper. The proposed segmentation approach is capable of providing feedback fast after each interaction. The fast computation is performed in the framework of graph cut. First, the labeled parts are used to learn foreground and background color models. Next, an energy function is built by formulating the similarities between unlabeled pixels and the foreground/background color models, color difference between neighbor pixels, and stereo correspondences obtained by SIFT feature matching. At last, graph cut is utilized to find the optimum of the energy function and obtain a segmentation result. Different from state-of-the-art methods, our segmentation approach formulates sparse correspondences rather than dense matches as stereo constraints in the energy function. Experimental results demonstrate that our method is faster in computation. In the meanwhile, it generates comparable results with state-of-the-art methods.
- Subjects
IMAGE segmentation; ENERGY function; LAGRANGIAN mechanics; STEREO image processing; IMAGE processing
- Publication
Multimedia Tools & Applications, 2016, Vol 75, Issue 18, p10935
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-015-2817-9