Face Detection

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Face Detection

Face Detection uses the spatial geometry of distinguishing features of the face. It is a form of computer vision that uses the face to identify or to authenticate a person. An important difference with other biometric solutions is that faces can be captured from some distance away, with for example surveillance cameras. Therefore face recognition can be applied without the subject knowing that he is being observed.
Face Recognizer detects, recognizes and records people’s faces that appear in a camera’s field of view. It identifies/verifies one or more persons in the scene using a stored database of faces. The product’s detection capability allows it to identify and extract human faces in a camera’s field of view and record them for future retrieval and forensic analysis. The product’s recognition capability allows it to search an existing database of faces and compare them with the faces detected in the scene to find a match. Face Recognizer detects “people of interest” and provides real-time alerts upon detecting certain faces in the scene.


Objectives

  • identification from photographs or video data using 3D facial images
  • face recognition with low-resolution images and video material
  • pose variation and partial occlusion in facial images

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