I have a large data set of images. These images contain buildings. I am looking for an intelligent way to extract data from these images.
Input
- Collection of images of buildings with rough coordinates
Method
- The program needs to be able to extract the image of the face of the building.
- Correct the image so it is "front facing" (some of the images are taken at angles to the face of the building)
- Assign tags to detail elements of the buildings face (windows, doors etc) and give these elements coordinates within the face of the building.
- Assign tags to textures of the building (ie Brick, concrete, misc 1, misc 2)
- Group similar building images together (using size and shape)
- Group similar detail elements and texture elements together into subdirectories of images.
- Assign coordinates (which are provided with source) to each building image
Output
- a clean database of all building face imagery, with associated coordinates, textures, and detail elements with image coordinates, easily indexable via Javascript or PHP.
Help
- I appreciate any and all advice on this project. Any links to useful code snippets/libraries/projects.