Malcolm Collin-Sibley Mentor: Shervin Ardeshir

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Presentation transcript:

Malcolm Collin-Sibley Mentor: Shervin Ardeshir 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 First with binary mapping Initial fusion results (Belief Propagation) Run that fusion on the data set

Completed work Height Tuning Pre Tuning Post Tuning

Completed work Height Tuning Pre Tuning Post Tuning

Completed work Fusion – Propagation

Completed Work Fusion – Propagation, Post Height tuning

Completed Work Fusion – Propagation, Post Height tuning

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

Completed work Addresses

Completed work Addresses

Completed work Addresses

Completed work Addresses

Completed work Addresses

Completed work Addresses

Current work Street Projection

Current work Street Projection

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