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WEEK VI Malcolm Collins-Sibley Mentor: Shervin Ardeshir.

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Presentation on theme: "WEEK VI Malcolm Collins-Sibley Mentor: Shervin Ardeshir."— Presentation transcript:

1 WEEK VI Malcolm Collins-Sibley Mentor: Shervin Ardeshir

2 STEPS SO FAR Starting Image

3 STEPS SO FAR Initial Projections from GIS Data

4 STEPS SO FAR GIS Projections with the addition of horizon calculations

5 STEPS SO FAR Projections labeled per building

6 STEPS SO FAR Full visualization of projections, also labeling the center of each building

7 STEPS SO FAR Binary maps representing “building area” as determined by the projections

8 STEPS SO FAR Initial Segmentation results

9 STEPS SO FAR Initial results of Projection and segmentation fusion

10 STEPS SO FAR After 7 iterations of the Projection Segmentation fusion code

11 STEPS SO FAR After thresholding the fusion results

12 STEPS SO FAR Address for each building in the frame

13 COMPLETED WORK Address for each building in the frame

14 THIS WEEK

15 GOALS FROM LAST WEEK Creating a grid of points overlaid to the map Extracting labels of the streets for each point in the grid Identifying the segments belonging to the streets by projection points of the grid from top view

16 COMPLETED WORK Initial street grid results

17 COMPLETED WORK Final testing of the street grid

18 COMPLETED WORK Full City grid map

19 COMPLETED WORK Address extracting

20 COMPLETED WORK

21 Ground truth outlines

22 COMPLETED WORK

23

24 GOALS FOR NEXT WEEK Finish extracting addresses for the city wide grid of points Projecting street names on image Alignment using horizon data Solve street occlusion problem Similar to the building occlusion problem early on Need to show just the street points that are in view of the camera Ground truth annotations Create database with all of the “true” addresses for each building by hand using Google maps Create database of the “true” outlines of each building by hand


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