Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/129949
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDaniel Volz
dc.date.accessioned2017-04-30T13:30:36Z-
dc.date.available2017-04-30T13:30:36Z-
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/123456789/129949-
dc.description.abstractOur project accurately detects a face within an image, identifies the person’s mouth, and determines whether or not they are smiling. Given a set of images of a person input into our system, we can compare their images and determine which photo contains the best smile. The images can be of the same person or of multiple distinct individuals.
dc.language.isoeng
dc.publisherRice University
dc.relation.urihttp://cnx.org/contents/cf56bf55-73ac-4707-b4d0-c063183231a5@1.3/Smile_Identification_via_Featu
dc.rights.uriCreative Commons Attribution License (by 3.0)
dc.sourceopenstax cnx
dc.subject.classificationScience and Technology
dc.subject.othercorner detection, face detection, shi tomasi, smile identification,viola jones, elec 301, rice university
dc.titleSmile Identification via Feature Recognition and Corner Detection
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

Files in This Item:
There are no files associated with this item.
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.