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  2. Visual privacy - Wikipedia

    en.wikipedia.org/wiki/Visual_privacy

    This technology tracks colored markers, worn by individuals, and then infers the location of a face by an offset from the marker. [2] Google Streetview uses automatic face detection to blur all faces in the city of Manhattan. [3] Eptascape has a product which provides automatic people tracking and provides privacy-enabled surveillance. [4]

  3. Face detection - Wikipedia

    en.wikipedia.org/wiki/Face_detection

    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.

  4. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    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.

  5. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Comparison of image viewers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_image_viewers

    GPS Location, Scripts for batch/pre processing, automatic slideshow CDisplay: No No Yes Yes Rotate, Filter Yes configurable Yes No No Slider, automatic slideshow, mouse control digiKam: Yes file name, comments, most Exif and meta data Yes linear, block, complex Yes Exif and IPTC Yes many editing function Yes Yes Yes

  7. FERET (facial recognition technology) - Wikipedia

    en.wikipedia.org/wiki/FERET_(facial_recognition...

    The goal of the FERET program was to advance the field of face recognition technology by establishing a common database of facial imagery for researchers to use and setting a performance baseline for face-recognition algorithms. [3] Potential areas where this face-recognition technology could be used include: [1]

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