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  2. Gesture recognition - Wikipedia

    en.wikipedia.org/wiki/Gesture_recognition

    Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision , [ citation needed ] it employs mathematical algorithms to interpret gestures.

  3. Finger tracking - Wikipedia

    en.wikipedia.org/wiki/Finger_tracking

    Finger tracking of two pianists' fingers playing the same piece (slow motion, no sound) [1]. In the field of gesture recognition and image processing, finger tracking is a high-resolution technique developed in 1969 that is employed to know the consecutive position of the fingers of the user and hence represent objects in 3D.

  4. Active appearance model - Wikipedia

    en.wikipedia.org/wiki/Active_appearance_model

    The model was first introduced by Edwards, Cootes and Taylor in the context of face analysis at the 3rd International Conference on Face and Gesture Recognition, 1998. [1] Cootes, Edwards and Taylor further described the approach as a general method in computer vision at the European Conference on Computer Vision in the same year.

  5. Leap Motion - Wikipedia

    en.wikipedia.org/wiki/Leap_Motion

    Leap Motion, Inc. (formerly OcuSpec Inc.) [1] [2] was an American company, active from 2010 to 2019, that manufactured and marketed a computer hardware sensor device. The device supports hand and finger motions as input, analogous to a mouse, but requires no hand contact or touching.

  6. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. SIFT keypoints of objects are first extracted from a set of reference images [ 1 ] and stored in a database.

  7. AForge.NET - Wikipedia

    en.wikipedia.org/wiki/AForge.NET

    AForge.NET is a computer vision and artificial intelligence library originally developed by Andrew Kirillov for the .NET Framework. [2]The source code and binaries of the project are available under the terms of the Lesser GPL and the GPL (GNU General Public License).

  8. Google Brain - Wikipedia

    en.wikipedia.org/wiki/Google_Brain

    The Google Brain project began in 2011 as a part-time research collaboration between Google fellow Jeff Dean and Google Researcher Greg Corrado. [3] Google Brain started as a Google X project and became so successful that it was graduated back to Google: Astro Teller has said that Google Brain paid for the entire cost of Google X.

  9. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    List of GitHub repositories of the project: Red Hat Workshops This data is not pre-processed List of GitHub repositories of the project: Kubernetes SIGs This data is not pre-processed List of GitHub repositories of the project: Konveyor This data is not pre-processed List of GitHub repositories of the project: RedHat Marketplace