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What Makes Paris Look like Paris?

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Published on Jun 26, 2012

Project website: http://graphics.cs.cmu.edu/projects/w...

Given a large repository of geotagged imagery provided by Google Street View, we can automatically find local visual elements, such as street signs, windows, or balconies, that are most distinctive for a given locale, such as the city of Paris.

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Uploader Comments (leptogenesis)

  • Salim Riley

    Salim Riley 7 months ago

    What programs did you use for analyzing all of those images?

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  • leptogenesis

    leptogenesis 7 months ago

    The two main software libraries we rely on are HOG (from Dalal & Triggs' 2005 paper) and libsvm. Other than that, it's all custom MATLAB code written by me and Saurabh. You can download the code for free (MIT license) on our project webpage.

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    in reply to Salim Riley (Show the comment)

All Comments (16)

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  • slamPUPPET

    slamPUPPET 2 months ago

    Haussmann.

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  • aaronsnoswell

    aaronsnoswell 3 months ago

    That poor guy who was detected to be a lamp post! Great work!

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  • Stellybird

    Stellybird 6 months ago

    So cool! Well done! I love Paris and have often asked the question... what is it that makes it unique from other cities? You definitely helped to answer that for me.

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  • Babak Ebrahimian

    Babak Ebrahimian 7 months ago

    It is Paris. No joke. Bust to authenticate it should

    include the cafes, bakery and cigarette smokes as well...

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  • qwe07

    qwe07 8 months ago

    GPS won't tell you the architectural characteristics of a city, lol.

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    in reply to mickarea (Show the comment)
  • Bonnye Stuart

    Bonnye Stuart 9 months ago

    It would be interesting to see how much Paris and New Orleans, USA, have in common

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  • George Bargoud

    George Bargoud 9 months ago

    Ever been to Barcelona? There's a lot of abnormal architecture there but it's one of the places they ended up using this software on.

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    in reply to mkoo (Show the comment)
  • mickarea

    mickarea 9 months ago

    what's the point ? GPS !! Is much more accurate!

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