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Facial motion capture is the process of electronically converting the movements of a person's face into a digital database using cameras or laser scanners. This database may then be used to produce computer graphics (CG), computer animation for movies, games, or real-time avatars.
Launch Date Product Fab ()Variants μarch Cores Applications References 2005 A1 130 nm Harmonic HDTV Broadcast Encoder [1] [2]2007 A2 90 nm Samsung HD Camcorder; Bosch IP Cameras
In May 2017, seven series of Hikvision cameras were affected by an improper authentication vulnerability which, if exploited, could allow "a malicious attacker [to] escalat[e] his or her privileges or assum[e] the identity of an authenticated user and [obtain] sensitive data," according to the U.S. Cybersecurity and Infrastructure Security Agency.
Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
IP cameras are considered part of the Internet of things and have many of the same benefits and security risks as other IP-enabled devices. [157] Smart doorbells are one example of a type of CCTV that uses IP to allow it to send alerts. Main types of IP cameras include fixed cameras, pan–tilt–zoom (PTZ) cameras, and multi-sensor cameras. [158]
Mova Contour is a multi-camera high resolution facial capture system originally developed by former Apple Computer engineer Steve Perlman. [1] It records surfaces (specifically of actors' faces) digitally, by using fluorescent makeup and stereo triangulation, allowing for very detailed digitization and manipulation.
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