reu week v

17
REU WEEK V Malcolm Collin-Sibley Mentor: Shervin Ardeshir

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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 - PowerPoint PPT Presentation

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Page 1: REU Week v

REU WEEK VMalcolm Collin-Sibley

Mentor: Shervin Ardeshir

Page 2: REU Week v

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

Page 3: REU Week v

COMPLETED WORK

• Height Tuning

Pre Tuning Post Tuning

Page 4: REU Week v

COMPLETED WORK

• Height Tuning

Pre Tuning Post Tuning

Page 5: REU Week v

COMPLETED WORK

• Fusion – Propagation

Page 6: REU Week v

COMPLETED WORK

• Fusion – Propagation, Post Height tuning

Page 7: REU Week v

COMPLETED WORK

• Fusion – Propagation, Post Height tuning

Page 8: REU Week v

COMPLETED WORK

• Addresses

url =

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

Page 9: REU Week v

COMPLETED WORK

• Addresses

Page 10: REU Week v

COMPLETED WORK

• Addresses

Page 11: REU Week v

COMPLETED WORK

• Addresses

Page 12: REU Week v

COMPLETED WORK

• Addresses

Page 13: REU Week v

COMPLETED WORK

• Addresses

Page 14: REU Week v

COMPLETED WORK

• Addresses

Page 15: REU Week v

CURRENT WORK

• Street Projection

Page 16: REU Week v

CURRENT WORK

• Street Projection

Page 17: REU Week v

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