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Fall 2010 11/12/2010

Fall 2010 11/12/2010. Jacob D’Avy. Outline. Semester overview Details Moving forward. Fall 2010. Segmentation GUI. Work with Alexander and Mischa Developed interface to run batch segmentation. Segmentation granularity. Varying parameters to control the amount of segmentation detail

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Fall 2010 11/12/2010

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  1. Fall 201011/12/2010 Jacob D’Avy

  2. Outline • Semester overview • Details • Moving forward

  3. Fall 2010 Segmentation GUI • Work with Alexander and Mischa • Developed interface to run batch segmentation Segmentation granularity • Varying parameters to control the amount of segmentation detail • Developed interface to test using watershed Unsupervised performance evaluation • Read and summarized papers • Implemented color saliency measure for testing Circle Packing • Began to investigate connection to segmentation 3D parameter space visualization • Working on a GUI to navigate a 3D parameter space • Functional but not complete Pixel pairing • Developing an idea for parameter space analysis • Under construction

  4. Fall 2010 Segmentation GUI • Work with Alexander and Mischa • Developed interface to run batch segmentation Segmentation granularity • Varying parameters to control the amount of segmentation detail • Developed interface to test using watershed Unsupervised performance evaluation • Read and summarized papers • Implemented color saliency measure for testing Circle Packing • Began to investigate connection to segmentation 3D parameter space visualization • Working on a GUI to navigate a 3D parameter space • Functional but not complete Pixel pairing • Developing an idea for parameter space analysis • Under construction

  5. Varying granularity • Controlling the coarseness of segmentation. • Finding the sweet spot between under and over segmentation.

  6. Varying granularity Progress • Created a GUI for testing • Contains watershed and mean shift segmentation methods • Segmentation coarseness can be controlled by a slider bar Status • On hold

  7. Fall 2010 Segmentation GUI • Work with Alexander and Mischa • Developed interface to run batch segmentation Segmentation granularity • Varying parameters to control the amount of segmentation detail • Developed interface to test using watershed Segmentation parameter optimization • Read and summarized papers • Implemented color saliency measure for testing Circle Packing • Began to investigate connection to segmentation 3D parameter space visualization • Working on a GUI to navigate a 3D parameter space • Functional but not complete Pixel pairing • Developing an idea for parameter space analysis • Under construction

  8. Segmentation parameter optimization • Unsupervised evaluation methods rate a segmentation without using a ground truth. • Color saliency is a measure intended for use in parameter optimization. • It assigns a score to a segmentation result based on the colordifferencebetween neighboring regions. • There is a presentation on my website that gives more detail about the measure. G. Heidemann , “Region saliency as a measure for colour segmentation stability,” Image and Vision Computing, vol. 26, no. 2, pp. 211-227, 2008.

  9. Observations • Color saliency was used for parameter optimization in [1] with some success. • The results for the test images show a tendency to give higher scores to undersegmented output. • In [2] the color saliency measure is used to optimize parameters for k-means segmentation. The results shown there also seem to favor undersegmentation. G. Heidemann , “Region saliency as a measure for colour segmentation stability,” Image and Vision Computing, vol. 26, no. 2, pp. 211-227, 2008. D. Ilea and P. Whelan, “Colour Saliency-Based Parameter Optimization for Adaptive Colour Segmentation,” International Conference on Image Processing, 2009.

  10. Segmentation parameter optimization Progress • Read and summarized papers • Implemented and tested the color saliency measure Status • Ongoing • I will continue to research methods • Eventually some optimization and evaluation measures could be included in the segmentation GUI

  11. Fall 2010 Segmentation GUI • Work with Alexander and Mischa • Developed interface to run batch segmentation Segmentation granularity • Varying parameters to control the amount of segmentation detail • Developed interface to test using watershed Unsupervised performance evaluation • Read and summarized papers • Implemented color saliency measure for testing Circle Packing • Began to investigate connection to segmentation 3D parameter space visualization • Working on a GUI to navigate a 3D parameter space • Functional but not complete Pixel pairing • Developing an idea for parameter space analysis • Under construction

  12. Circle packing • Application to segmentation Progress • Studied the basics of circle packing theory • Downloaded and set up circle packing software Status • On hold http://www.math.utk.edu/~kens/

  13. Fall 2010 Segmentation GUI • Work with Alexander and Mischa • Developed interface to run batch segmentation Segmentation granularity • Varying parameters to control the amount of segmentation detail • Developed interface to test using watershed Unsupervised performance evaluation • Read and summarized papers • Implemented color saliency measure for testing Circle Packing • Began to investigate connection to segmentation 3D parameter space visualization • Working on a GUI to navigate a 3D parameter space • Functional but not complete Pixel pairing • Developing an idea for parameter space analysis • Under construction

  14. Parameter space visualization • The goal is to create a way to easily view and navigate segmentation results. • I am working on software that displays segmentation results in a 3D space. • Each axis represents the change in a parameter.

  15. Parameter space visualization Demonstration Segmentation method: Mean shift Parameters: input image =5x5x5= 525 images

  16. Parameter space visualization Progress • The GUI is functional • Zoom, rotate, and translate • Display selected image from cube (partially working) Status • Under construction

  17. Fall 2010 Segmentation GUI • Work with Alexander and Mischa • Developed interface to run batch segmentation Segmentation granularity • Varying parameters to control the amount of segmentation detail • Developed interface to test using watershed Unsupervised performance evaluation • Read and summarized papers • Implemented color saliency measure for testing Circle Packing • Began to investigate connection to segmentation 3D parameter space visualization • Working on a GUI to navigate a 3D parameter space • Functional but not complete Pixel pairing • Developing an idea for parameter space analysis • Under construction

  18. Pixel pairing • The goal is to automatically find a good result from a set of • segmentations produced by varying parameters. • The approach is based on the idea that each segmentation contains • some useful information about the ideal pixel grouping. • Each segmentation is scored based on its correspondence to • the pixel pairing of all the other segmentations. • The parameter values that produce segmentations with higher • scores are considered better. input seg1 seg2 seg3 seg4

  19. Pixel pairing Progress • A presentation with more detail is available on my website. • Software implementation for testing • Tested for a few images Status • Unsure

  20. Outline • Semester overview • Details • Moving forward

  21. Moving forward • Finish parameter space visualizer • Continue to develop research focus (break & beginning of Spring 2010) • Literature search with focus on segmentation of face images and optimization. • Find areas of potential contribution. • Research (Spring 2010) • Begin to work on contributions • Regular meetings?

  22. End

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