Difference between revisions of "Image Recognition"

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* 5 Mind-blowing Microsoft Kinect Hacks: http://www.makeuseof.com/tag/5-microsoft-xbox-kinect-hacks-blow-mind/
* 5 Mind-blowing Microsoft Kinect Hacks: http://www.makeuseof.com/tag/5-microsoft-xbox-kinect-hacks-blow-mind/
* OpenCV vs. Apple iPhone (compiling the Image Recognition library of iPhone 3.0 OS): http://www.computer-vision-software.com/blog/2009/04/opencv-vs-apple-iphone/
* OpenCV vs. Apple iPhone (compiling the Image Recognition library of iPhone 3.0 OS): http://www.computer-vision-software.com/blog/2009/04/opencv-vs-apple-iphone/
* A Doorbell With Facial Recognition: http://dzone.com/articles/doorbell-with-facial-recognition (using OpenCV to find the face and AWS Recognition service to identify the face from a set of pre-trained faces)

Revision as of 11:47, 11 February 2017

Image Recognition is a technique, process and/or (set of) computer algorithm(s) that may have one of two main types. The first type of Image Recognition algorithm is the act of programmatically determining the degree of similarity between two (or more) images, and determining the

The other is understanding or calculating within a given degree of precision, the existence of or position of a set of objects.

Facial Recognition

A subset of Image Recognition, Facial Recognition aims to train a system to recognize individual people based on their physical traits (appearance and related artifacts, i.e. nose bridge, nostrils, smile, teeth, hair color, hair style, ears, facial symmetry, eyes, eye color, eye spacing, eyebrows, common accessories worn, etc).




Open-source Computer Vision (OpenCV) is the leading open source library of programming functions mainly aimed at real time computer vision. Example applications of the OpenCV library are Human-Computer Interaction (HCI); Object Identification, Segmentation and Recognition; Face Recognition; Gesture Recognition; Motion Tracking, Ego Motion, Motion Understanding; Structure From Motion (SFM); Stereo and Multi-Camera Calibration and Depth Computation; Mobile Robotics.



External Links


  1. Face Substitution DEMO (formerly at): http://auduno.github.io/clmtrackr/examples/facesubstitution.html
  2. Researchers figure out how to trick facial recognition systems: http://www.zdnet.com/article/researchers-figure-out-how-to-trick-facial-recognition-systems
  3. Baidu and KFC’s new smart restaurant suggests what to order based on your face: http://techcrunch.com/2016/12/23/baidu-and-kfcs-new-smart-restaurant-suggests-what-to-order-based-on-your-face/
  4. Face.com opens its face recognition tech to devs: http://news.cnet.com/8301-27076_3-20003936-248.html
  5. That was quick. Facebook shuts down Face.com APIs, kills Klik app, enrages developers: http://thenextweb.com/facebook/2012/07/07/that-was-quick-facebook-shuts-down-face-com-apis-kills-klik-app-enrages-developers/
  6. FaceAPI Download: http://www.seeingmachines.com/product/faceapi/downloads/
  7. FaceAPI with Flight Simulator 10 (FSX): http://vimeo.com/2880313
  8. HL2 + Johnny Lee head tracking effect + faceAPI = OMG: http://www.neogaf.com/forum/showthread.php?t=365917
  9. Unity 3D + faceAPI = LOVE: http://www.andysaia.com/radicalpropositions/?p=197
  10. Faceapi -- 3d Head Tracking With Any Webcam: http://technabob.com/blog/2008/03/19/faceapi-3d-head-tracking-with-any-webcam/
  11. FlashSURF – moving further: http://blog.inspirit.ru/?p=386
  12. PHP face detect extension: http://www.xarg.org/project/php-facedetect/
  13. Running OpenCV 2.2 using PHP on Amazon Cloud Free Tier: http://abhishek376.wordpress.com/2011/11/09/opencv-on-amazon-cloud-free-tier/
  14. wikipedia: MNIST database
  15. Looks Like It - Checking for image similarity using Hash values in PHP: http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html
  16. Face Recognition in Java @ JavaOne 2012: http://netbeans.dzone.com/articles/nb-machine-learning-neuroph

See Also

Semantic Web | Machine Learning | AI | AR | Video | Image