Difference between revisions of "Historical:SoC 2008 Masking in GUI"
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==References== | ==References== | ||
| − | [1] Interactive | + | [1] Yury Boykov, Marie-Pierre Jolly, "Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images," Proc. Eighth IEEE ICCV, vol.1, no., pp.105-112 vol.1, 2001. |
[http://www.csd.uwo.ca/~yuri/Abstracts/iccv01-abs.html webpage] | [http://www.csd.uwo.ca/~yuri/Abstracts/iccv01-abs.html webpage] | ||
| − | [2] Lazy Snapping [http://research.microsoft.com/~jiansun/papers/LazySnapping_SIGGRAPH04.pdf paper] [http://research.microsoft.com/~jiansun/videos/LazySnapping_Tiny.wmv video] | + | [2] Yin Li, Jian Sun, Chi-Keung Tang and Heung-Yeung Shum, "Lazy Snapping," ACM Transaction on Graphics(Proceedings of SIGGRAPH), Vol 23, No. 3, April 2004.[http://research.microsoft.com/~jiansun/papers/LazySnapping_SIGGRAPH04.pdf paper] [http://research.microsoft.com/~jiansun/videos/LazySnapping_Tiny.wmv video] |
| − | [3] Interactive Digital Photomontage [http://grail.cs.washington.edu/projects/photomontage/ webpage] | + | [3] Aseem Agarwala, Mira Dontcheva, Maneesh Agrawala, Steven Drucker, Alex Colburn, Brian Curless, David Salesin, Michael Cohen, "Interactive Digital Photomontage," ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2004. [http://grail.cs.washington.edu/projects/photomontage/ webpage] |
[[Category:Community:Project]] | [[Category:Community:Project]] | ||
Revision as of 07:29, 9 May 2008
Introduction
The objective of this project is to provide the user with an easy to use interface for quickly creating blending masks. After the images are aligned and shown in the preview window, users will have the option of creating blending masks. Currently the goal is to provide option for mask creation in the preview window. Since it already shows the aligned images, it would be easier for users to create appropriate masks when all the images aligned.
Project Outline
Editing Features
- Option for zooming in/out
- Set brush stroke size
- Polygon editing mode for fine-tuning boundary regions
Timeline
1. Before Start of Coding Phase:
- Determine input data type, format and how the user will interact
- Construct a preliminary design of the software
- Outline of how the algorithm will work
- Finalize the scope of the project
2. Coding Phase:
2.1 Before Mid Term Evaluation
Implement a basic framework that can –
- take an image stack of a particular format.
- allow users to mark regions
- incorporate algorithm to learn the color model from the user defined area
- start implementing 2D multi-label image segmentation
2.2 After Mid Term Evaluation
- perform image segmentation on the stack of images (3D segmentation problem where the user will only need to roughly mark the region on a small subset of the images)
At the end of this stage the segmentation algorithm should be able to correctly identify similar region in successive images.
References
[1] Yury Boykov, Marie-Pierre Jolly, "Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images," Proc. Eighth IEEE ICCV, vol.1, no., pp.105-112 vol.1, 2001. webpage
[2] Yin Li, Jian Sun, Chi-Keung Tang and Heung-Yeung Shum, "Lazy Snapping," ACM Transaction on Graphics(Proceedings of SIGGRAPH), Vol 23, No. 3, April 2004.paper video
[3] Aseem Agarwala, Mira Dontcheva, Maneesh Agrawala, Steven Drucker, Alex Colburn, Brian Curless, David Salesin, Michael Cohen, "Interactive Digital Photomontage," ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2004. webpage