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  2. List of datasets in computer vision and image processing

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

    3D Face image database. 34 action units and 6 expressions labeled; 24 facial landmarks labeled. 4652 Images, text Face recognition, classification 2008 [105] [106] A Savran et al. UOY 3D-Face neutral face, 5 expressions: anger, happiness, sadness, eyes closed, eyebrows raised. labeling. 5250 Images, text Face recognition, classification 2004 ...

  3. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    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. Such a system is typically employed to authenticate users through ID verification services , and works by pinpointing and measuring facial features from a given image.

  4. Face detection - Wikipedia

    en.wikipedia.org/wiki/Face_detection

    It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. [3] A reliable face-detection approach based on the genetic algorithm and the eigen-face [4] technique:

  5. 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.

  6. Eigenface - Wikipedia

    en.wikipedia.org/wiki/Eigenface

    The technique used in creating eigenfaces and using them for recognition is also used outside of face recognition: handwriting recognition, lip reading, voice recognition, sign language/hand gestures interpretation and medical imaging analysis. Therefore, some do not use the term eigenface, but prefer to use 'eigenimage'.

  7. Active appearance model - Wikipedia

    en.wikipedia.org/wiki/Active_appearance_model

    [2] [3] The approach is widely used for matching and tracking faces and for medical image interpretation. The algorithm uses the difference between the current estimate of appearance and the target image to drive an optimization process. By taking advantage of the least squares techniques, it can match to new images very swiftly.

  8. Face Recognition Grand Challenge - Wikipedia

    en.wikipedia.org/wiki/Face_Recognition_Grand...

    The Face Recognition Grand Challenge (FRGC) was a project that aimed to promote and advance face recognition technology to support existing face recognition efforts within the U.S. Government. The project ran from May 2004 to March 2006 and was open to face recognition researchers and developers in companies, academia, and research institutions.

  9. Viola–Jones object detection framework - Wikipedia

    en.wikipedia.org/wiki/Viola–Jones_object...

    [1] [2] It was motivated primarily by the problem of face detection, although it can be adapted to the detection of other object classes. In short, it consists of a sequence of classifiers. Each classifier is a single perceptron with several binary masks (Haar features). To detect faces in an image, a sliding window is computed over the image.