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REU Week III

REU Week III. Malcolm Collins-Sibley Mentor: Shervin Ardeshir. Project. Cross-View Image Registration and Semantic Segmentation

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REU Week III

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  1. REU Week III Malcolm Collins-Sibley Mentor: ShervinArdeshir

  2. Project • Cross-View Image Registration and Semantic Segmentation • The goal is to use information from map and satellite images, and project them on the screen which the user is observing, in a way that the user can see semantic segments overlaid on the scene.

  3. project • Output Mockup

  4. Completed work • Readings: • “Geometric Image Parsing in Man-Made Environments” • Olga Barinova et al • “Recovering Surface Layout from an Image” • Derek Hoiem et al • “Recovering Occlusion Boundaries from a Single Image” • Derek Hoeim et al • “Entropy Rate Superpixel Segmentation” • MY Liu et al

  5. Completed work • Geometric Image Parsing Code

  6. Completed work • Geometric Image Parsing Code

  7. Completed work • Super-pixel Segmentation With 8 super-pixels

  8. Completed work • Super-pixel Segmentation With 20 super-pixels

  9. Completed work • Building Projection

  10. Completed work • Building Projection

  11. Current work • Within the Building Projection code: • Building occlusion and self-occlusion • Works whena building occludes another, but not when a building is occluding itself

  12. Current work • Occlusion Handling Before After

  13. Current work • Occlusion Handling Before After

  14. Current work • Occlusion Handling Before After

  15. Current work • Occlusion Handling Before After

  16. The next step • Understanding the occlusion handling code • Making sure it is handling self-occlusions accurately • Understanding the format of the output data in the line segments/horizon code • Running the line segmentation code for all of the images in our dataset and saving all of the output variables in a structure • Extracting the super pixels from images in the dataset and saving it in a structure • Computing their pairwise similarities of the super pixels in terms of color and texture

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