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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.
This is a stand-alone camera that can be attached to a desktop or laptop computer. [21] It is intended to be used for natural gesture-based interaction, face recognition, immersive, video conferencing and collaboration, gaming and learning and 3D scanning. [22] There was also version of this camera to be embedded into laptop computers. [18]
The face recognition system was initially installed as part of a US$11 million contract and included a computer cluster of sixty computers, a fiber-optic cable network for the airport buildings, as well as the installation of 150 surveillance cameras in the airport terminal and at about 30 airport gates.
Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. [1] Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.
ACDSee is an image organizer, viewer, and image editor program for Windows, macOS and iOS, developed by ACD Systems International Inc. ACDSee was originally distributed as a 16-bit application for Windows 3.0 and later supplanted by a 32-bit version for Windows 95. [1] ACDSee Pro 6 adds native 64-bit support. The newest versions of ACDSee ...
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Classification, face recognition 2011 [91] [92] M. Grgic et al. Yale Face Database Faces of 15 individuals in 11 different expressions. Labels of expressions. 165 Images Face recognition 1997 [93] [94] J. Yang et al. Cohn-Kanade AU-Coded Expression Database Large database of images with labels for expressions. Tracking of certain facial features.