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REU Week v

REU Week v. Malcolm Collin-Sibley Mentor: Shervin Ardeshir. Goals from last week. Tuning building projections in terms of height . Generating KML/KMZ files from google earth containing GPS locations of different buildings/roads Fusion between building projection and super-pixilation

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REU Week v

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  1. REU Week v Malcolm Collin-Sibley Mentor: ShervinArdeshir

  2. Goals from last week • Tuning building projections in terms of height. • Generating KML/KMZ files from google earth containing GPS locations of different buildings/roads • Fusion between building projection and super-pixilation • First with binary mapping • Initial fusion results (Belief Propagation) • Run that fusion on the data set

  3. Completed work • Height Tuning Pre Tuning Post Tuning

  4. Completed work • Height Tuning Pre Tuning Post Tuning

  5. Completed work • Fusion – Propagation

  6. Completed Work • Fusion – Propagation, Post Height tuning

  7. Completed Work • Fusion – Propagation, Post Height tuning

  8. Completed work • Addresses url = http://maps.googleapis.com/maps/api/geocode/xml?latlng=38.9052,-77.0298&sensor=true

  9. Completed work • Addresses

  10. Completed work • Addresses

  11. Completed work • Addresses

  12. Completed work • Addresses

  13. Completed work • Addresses

  14. Completed work • Addresses

  15. Current work • Street Projection

  16. Current work • Street Projection

  17. The next step • 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 • Defining a confidence score for each of the labelled buildings based on color consistency

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