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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. MeituPic - Wikipedia

   en.wikipedia.org/wiki/MeituPic

   MeituPic provides a number of photo-editing tools. The major functions are auto enhance, edit, enhance, filters, frames, magic brush, mosaic, text, and blur. [2]Auto enhance focuses on the nature of photos taken, while Edit includes functions of cropping, rotation, sharpening, and adjustment of ratio.

4. 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]

5. 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.

6. Comparison of image viewers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_image_viewers

   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 by changing EXIF orientation and not in editor Yes Geotagging, batch processing, detect duplicate/similar images, export to Internet/social media/HTML Eye of ...

7. Eigenface - Wikipedia

   en.wikipedia.org/wiki/Eigenface

   Eigenface provides an easy and cheap way to realize face recognition in that: Its training process is completely automatic and easy to code. Eigenface adequately reduces statistical complexity in face image representation. Once eigenfaces of a database are calculated, face recognition can be achieved in real time.