atblakely Posted July 19, 2012 Share Posted July 19, 2012 I have a social network project, and had some ideas as for face recognition for photo tagging and some ideas for maybe usage of AI. What do you guys think? Quote Link to comment Share on other sites More sharing options...
Jason Cooper Posted July 20, 2012 Share Posted July 20, 2012 Sounds like a good project, you could try training a neural net to recognise faces in photos or try to identify key facial features and then use the ratios between them as a signature to identify people, or something else? Either way you should learn a lot from it. Quote Link to comment Share on other sites More sharing options...
atblakely Posted July 20, 2012 Author Share Posted July 20, 2012 Sounds like a good project, you could try training a neural net to recognise faces in photos or try to identify key facial features and then use the ratios between them as a signature to identify people, or something else? Either way you should learn a lot from it. I'm going to see now Android does it's face recognition. That might shed some more light, but it's not meant for something that would be the scale of a social network. Does anyone have any opinions on the Hadoop project, I thought that might be good for maybe running this kind of thing. I'm not a Java dev by any means. I do more C, Perl, Node.js, and some assembly type work. Quote Link to comment Share on other sites More sharing options...
unixmito Posted July 26, 2012 Share Posted July 26, 2012 OpenVa is great place to start with. My advice is, go with a preexisting library that actually does most of the grunt work. Facial recognition is an exceedingly specialized field. Having already tried to roll my own, you're going to wish that you taken applied mathmatics in college (and if you did, kudos). Otherwise sounds like a great project. Does Hadoop include facerecognition? Quote Link to comment Share on other sites More sharing options...
atblakely Posted July 29, 2012 Author Share Posted July 29, 2012 OpenVa is great place to start with. My advice is, go with a preexisting library that actually does most of the grunt work. Facial recognition is an exceedingly specialized field. Having already tried to roll my own, you're going to wish that you taken applied mathmatics in college (and if you did, kudos). Otherwise sounds like a great project. Does Hadoop include facerecognition? I'm not interested in rolling my own library, I can just imagine the nightmare of trying to write something like that. That's why I'm kinda looking at OpenCV. Hadoop does not include face recognition. It is a platform which is based off some google specs for their MapReduce and GFS implantations. Which is how Google is able to store data across multiple machines and process it using multiple machines. I want to use Hadoop because it can help scale this type of system to something for a social network. It's been reported that Hadoop has been able to process 1TB of data in less than one minute. I'm not sure the size of the cluster used for this and when this was but I can only imagine that there's been faster processing time on bigger sets of data as hadoop grows, and code optimization can help too. If I remember correctly I have seen reports of Hadoop clusters spanning up to 10,000 nodes or more which is impressive. But as you can see Hadoop would help with processing the face data. As for how it would determine which person is which I am not sure yet. I'm going to start doing some research in this topic soon and might write some test code. Quote Link to comment Share on other sites More sharing options...
Sud0x3 Posted August 24, 2012 Share Posted August 24, 2012 I'm also researching a possible project in face recognition using python, you might find these resources useful. http://www.cognotics.com/opencv/index.html http://www.shervinemami.co.cc/faceRecognition.html http://spottedsun.com/face-detection-in-images-using-opencv-and-python/ https://github.com/wragge/Facial-detection http://blog.jozilla.net/2008/06/27/fun-with-python-opencv-and-face-detection/ Quote Link to comment Share on other sites More sharing options...
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