Please use this identifier to cite or link to this item: https://doi.org/10.1109/34.655648
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dc.titleExample-based learning for view-based human face detection
dc.contributor.authorSung, K.-K.
dc.contributor.authorPoggio, T.
dc.date.accessioned2014-10-27T06:02:24Z
dc.date.available2014-10-27T06:02:24Z
dc.date.issued1998
dc.identifier.citationSung, K.-K., Poggio, T. (1998). Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (1) : 39-51. ScholarBank@NUS Repository. https://doi.org/10.1109/34.655648
dc.identifier.issn01628828
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/99274
dc.description.abstractWe present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based "face" and "nonface" model clusters. At each image location, a difference feature vector is computed between the local image pattern and the distribution-based model. A trained classifier determines, based on the difference feature vector measurements, whether or not a human face exists at the current image location. We show empirically that the distance metric we adopt for computing difference feature vectors, and the "nonface" clusters we include in our distribution-based model, are both critical for the success of our system. ©1998 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/34.655648
dc.sourceScopus
dc.subjectDensity estimation
dc.subjectExample selection
dc.subjectExample-based learning
dc.subjectFace detection
dc.subjectGaussian mixture model
dc.subjectObject detection
dc.subjectPattern recognition
dc.subjectView-based recognition
dc.typeArticle
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.description.doi10.1109/34.655648
dc.description.sourcetitleIEEE Transactions on Pattern Analysis and Machine Intelligence
dc.description.volume20
dc.description.issue1
dc.description.page39-51
dc.description.codenITPID
dc.identifier.isiut000071872400004
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