1. REU WEEK III Malcolm Collins-Sibley Mentor: Shervin Ardeshir

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 when a building occludes another, but not when a building is occluding itself

12. CURRENT WORK Occlusion Handling BeforeAfter

13. CURRENT WORK Occlusion Handling Before After

14. CURRENT WORK Occlusion Handling BeforeAfter

15. CURRENT WORK Occlusion Handling BeforeAfter

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