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Motion capture of two pianists' right hands playing the same piece (slow-motion, no-sounds) [1] Two repetitions of a walking sequence recorded using motion capture [2]. Motion capture (sometimes referred as mo-cap or mocap, for short) is the process of recording the movement of objects or people.
The first alpha version of OpenCV was released to the public at the IEEE Conference on Computer Vision and Pattern Recognition in 2000, and five betas were released between 2001 and 2005. The first 1.0 version was released in 2006. A version 1.1 "pre-release" was released in October 2008. The second major release of the OpenCV was in October 2009.
Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by. The system then calculates the race, gender, and age range of the face. Once the information is collected, a series of advertisements can be played that is specific toward the detected race/gender/age.
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Document cameras, also known as visual presenters, visualizers, digital overheads, docucams, or simply doc-cams, are high-resolution, real-time image capture devices used to display an object to a large audience, such as in a classroom or a lecture hall. A webcam is mounted on arms to operate a document camera, allowing it to be positioned over ...
Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera.By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels.
Pose estimation in a motion capture system 3D pose estimation is a process of predicting the transformation of an object from a user-defined reference pose, given an image or a 3D scan . It arises in computer vision or robotics where the pose or transformation of an object can be used for alignment of a computer-aided design models ...
Face Recognition is used to identify or verify a person from a digital image or a video source using a pre-stored facial data. Visage SDK's face recognition algorithms can measure similarities between people and recognize a person’s identity [citation needed] from a frontal facial image by comparing it to pre-stored faces.