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  2. Intense pulsed light - Wikipedia

    en.wikipedia.org/wiki/Intense_pulsed_light

    Intense pulsed light (IPL) is a technology used by cosmetic and medical practitioners to perform various skin treatments for aesthetic and therapeutic purposes, including hair removal, photorejuvenation (e.g. the treatment of skin pigmentation, sun damage, and thread veins) as well as to alleviate dermatologic diseases such as acne.

  3. Photorejuvenation - Wikipedia

    en.wikipedia.org/wiki/Photorejuvenation

    Photorejuvenation is a skin treatment that uses lasers, intense pulsed light, or photodynamic therapy to treat skin conditions and remove effects of photoaging such as wrinkles, spots, and textures. The process induces controlled wounds to the skin. This prompts the skin to heal itself, by creating new cells.

  4. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Images, text Face recognition 2014 [99] [100] H. Ng et al. BioID Face Database Images of faces with eye positions marked. Manually set eye positions. 1521 Images, text Face recognition 2001 [101] [102] BioID Skin Segmentation Dataset Randomly sampled color values from face images. B, G, R, values extracted. 245,057 Text Segmentation ...

  5. FERET database - Wikipedia

    en.wikipedia.org/wiki/FERET_database

    The Facial Recognition Technology (FERET) database is a dataset used for facial recognition system evaluation as part of the Face Recognition Technology (FERET) program.It was first established in 1993 under a collaborative effort between Harry Wechsler at George Mason University and Jonathon Phillips at the Army Research Laboratory in Adelphi, Maryland.

  6. ISO/IEC 19794-5 - Wikipedia

    en.wikipedia.org/wiki/ISO/IEC_19794-5

    ISO/IEC 19794 Information technology—Biometric data interchange formats—Part 5: Face image data, or ISO/IEC 19794-5 for short, is the fifth of 8 parts of the ISO/IEC standard ISO/IEC 19794, published in 2005, which describes interchange formats for several types of biometric data.

  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]