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Physiognomy (from Greek φύσις (physis) 'nature' and γνώμων (gnomon) 'judge, interpreter') or face reading is the practice of assessing a person's character or personality from their outer appearance—especially the face.
It should only contain pages that are Facial features or lists of Facial features, as well as subcategories containing those things (themselves set categories). Topics about Facial features in general should be placed in relevant topic categories .
The Sanskrit term "Samudrika Shastra" translates roughly as "knowledge of body features." It is related to astrology and palmistry (Hast-samudrika), as well as phrenology (kapal-samudrik) and face reading (physiognomy, mukh-samudrik). [1] [2] It is also one of the themes incorporated into the ancient Hindu text, the Garuda Purana. [3]
The Facial Action Coding System (FACS) is a system to taxonomize human facial movements by their appearance on the face, based on a system originally developed by a Swedish anatomist named Carl-Herman Hjortsjö. [1] It was later adopted by Paul Ekman and Wallace V. Friesen, and published in 1978. [2]
Any human face can be considered to be a combination of these standard faces. For example, one's face might be composed of the average face plus 10% from eigenface 1, 55% from eigenface 2, and even −3% from eigenface 3. Remarkably, it does not take many eigenfaces combined together to achieve a fair approximation of most faces.
The universality hypothesis is the assumption that certain facial expressions and face-related acts or events are signals of specific emotions (happiness with laughter and smiling, sadness with tears, anger with a clenched jaw, fear with a grimace, or gurn, surprise with raised eyebrows and wide eyes along with a slight retraction of the ears ...
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The feature vector can then be further processed for many different tasks. For example, to identify the face, one can compare it against a list of feature vectors of known faces, and identify the face with the most similar feature vector. DeepFace uses fiducial point detectors based on existing databases to direct the alignment of faces.