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Published byἸοκάστη Νύξ Κοντόσταυλος Modified over 6 years ago
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Malcolm Collin-Sibley Mentor: Shervin Ardeshir
REU Week v Malcolm Collin-Sibley Mentor: Shervin Ardeshir
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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
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Completed work Height Tuning Pre Tuning Post Tuning
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Completed work Height Tuning Pre Tuning Post Tuning
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Completed work Fusion – Propagation
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Completed Work Fusion – Propagation, Post Height tuning
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Completed Work Fusion – Propagation, Post Height tuning
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Completed work Addresses url =
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Completed work Addresses
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Completed work Addresses
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Completed work Addresses
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Completed work Addresses
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Completed work Addresses
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Completed work Addresses
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Current work Street Projection
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Current work Street Projection
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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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