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dc.contributor.authorMohamed Rizon, Mohamed Juhari
dc.contributor.authorMuthukaruppan, Karthigayan
dc.contributor.authorSazali, Yaacob
dc.contributor.authorRamachandran, Nagarajan
dc.contributor.authorPuteh, Saad
dc.contributor.authorP. L. EhKan
dc.date.accessioned2009-09-04T02:54:03Z
dc.date.available2009-09-04T02:54:03Z
dc.date.issued2005-05-14
dc.identifier.citationp.89-95en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7143
dc.descriptionOrganized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis.en_US
dc.description.abstractIn this paper, we review researches on human faces from aspect of face recognition and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine learning research. We can identify the age, gender, and ethnic origin from faces. Face recognition systems are divided into the holistic approach and the analytic approach. The holistic approach treats a human face as 2D pattern of intensity variation. The analytic approach recognizes a human face using the geometrical measurements taken among facial features, such as eye and mouth. The face emotions are applied in robot to helf patients, senior citizens and disable people. Some time the robots are known as welfare robot. The face emotions are recognized using features such as eye, eye brow and mouth. These features play a vital role in emotion recognition. Face detection is a crucial step for face recognition and previously reported is classified into two groups: algorithms for detecting human faces in intensity images and algorithms for detecting human faces in color images.en_US
dc.language.isoenen_US
dc.publisherKolej Universiti Kejuruteraan Utara Malaysiaen_US
dc.relation.ispartofseriesProceedings of the 1st International Workshop on Artificial Life and Roboticsen_US
dc.subjectFace recognitionen_US
dc.subjectFace detectionen_US
dc.subjectComputer visionen_US
dc.subjectRecognition systemen_US
dc.subjectFace emotionen_US
dc.subjectImage processingen_US
dc.titleHuman faces: a review from detection to recognitionen_US
dc.typeWorking Paperen_US


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