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  2. Aperture (software) - Wikipedia

    en.wikipedia.org/wiki/Aperture_(software)

    Aperture is a discontinued professional image organizer and editor developed by Apple between 2005 and 2015 for the Mac, as a professional alternative to iPhoto.. Aperture is a non-destructive editor that can handle a number of tasks common in post-production work, such as importing and organizing image files, applying adjustments, and printing or exporting photographs.

  3. Picasa - Wikipedia

    en.wikipedia.org/wiki/Picasa

    For organizing photos, Picasa has file importing and tracking features, as well as tags, facial recognition, and collections for further sorting. It also offers several basic photo editing functions, including color enhancement, red eye reduction, and cropping. Other features include slide shows, printing, and image timelines.

  4. ACDSee - Wikipedia

    en.wikipedia.org/wiki/ACDSee

    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]

  5. 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.

  6. FantaMorph - Wikipedia

    en.wikipedia.org/wiki/FantaMorph

    FantaMorph is a morphing software for the creation of photo morphing pictures and sophisticated morph animation effects. The category of this software is Image Editor or Animation in Graphics or Multimedia. FantaMorph supports both Windows and Mac operating system, and comes in three different editions: Standard, Professional and Deluxe.

  7. FaceNet - Wikipedia

    en.wikipedia.org/wiki/FaceNet

    FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]

  8. macOS Sierra - Wikipedia

    en.wikipedia.org/wiki/MacOS_Sierra

    Apple says it has improved the face recognition of the Photos application, adding object and scene recognition. It groups similar pictures together using faces, locations and object recognition to create "memories". Memories contain picture slideshows with transitions and music selected by the algorithm, which can be modified to the user's liking.

  9. Fawkes (software) - Wikipedia

    en.wikipedia.org/wiki/Fawkes_(software)

    The creators of Fawkes identify, that using sybil images can increase the effectiveness of their software against recognition software products. Sybil images are images that do not match the person they are attributed to. This confuses the facial recognition software and leads to misidientification which also helps the efficacy of image cloaking.

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