Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-View Stereo via Volumetric Graph-Cuts
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Appearance-space texture synthesis
ACM SIGGRAPH 2006 Papers
Constrained Texture Synthesis via Energy Minimization
IEEE Transactions on Visualization and Computer Graphics
GI '07 Proceedings of Graphics Interface 2007
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
A perception-based color space for illumination-invariant image processing
ACM SIGGRAPH 2008 papers
3D-modeling by ortho-image generation from image sequences
ACM SIGGRAPH 2008 papers
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The graph cut technique has been employed successfully in a large number of computer graphics and computer vision related problems. The algorithm has yielded particularly impressive results in the field of image fusion, e.g., texture tiling, image stitching, and image and video editing. An analysis of the literature shows that authors use different variations of the algorithm, such as different cost functions and parameters. However, there are no detailed investigations on how these parameters influence results and what parameters are most suitable for what type of application. In this paper we analyse the use of graph cut algorithms in different image fusion applications. We list and classify relevant parameters, suggest new cost functions for seam optimisation, and analyse the effect of parameter choices on different application scenarios. Based on the results we develop guidelines assisting users to employ the graph cut technique effectively in different image fusion applications.