Hi Ellice, Have you seen Tim Sherrat's work on Invisible Australia? http://discontents.com.au/the-real-face-of-white-australia/
There's some code that will extract faces out of the photographs available at: https://github.com/wragge/Facial-detection Richard J. Urban, Assistant Professor College of Communication and Information School of Library and Information Studies Florida State University Florida's iSchool rurban at fsu.edu @musebrarian On May 20, 2013, at 3:50 PM, Ellice Engdahl wrote: > Hi all, > > > > I'm curious as to whether anyone has investigated facial recognition > software as a way to quickly identify people who show up in photos in > large photographic collections. We're in the process of digitizing a > collection of about 3500 auto racing photographs, a number of which are > posed and/or have people facing the camera straight-on. We're wondering > if facial recognition technology could help us identify the numerous > people who recur throughout the collection in a efficient and > semi-automated fashion, allowing us to add some useful metadata with > relatively low effort. Has anybody tried this, or thought about it? I > would love to hear your thoughts/experiences. > > > > Thanks! > > > > > > Ellice Engdahl, Digital Collections Initiative Manager > > The Henry Ford > > 20900 Oakwood Blvd., Dearborn, MI 48124 > > (o) 313.982.6005 | (e) ElliceE at thehenryford.org > > > > _______________________________________________ > You are currently subscribed to mcn-l, the listserv of the Museum Computer > Network (http://www.mcn.edu) > > To post to this list, send messages to: mcn-l at mcn.edu > > To unsubscribe or change mcn-l delivery options visit: > http://mcn.edu/mailman/listinfo/mcn-l > > The MCN-L archives can be found at: > http://toronto.mediatrope.com/pipermail/mcn-l/
