State of the Art in Face Recognition
dc.contributor.editor | Mario Chacon, Dr. I. M. | |
dc.date.accessioned | 2021-04-20T14:54:00Z | |
dc.date.available | 2021-04-20T14:54:00Z | |
dc.date.issued | 2009 | |
dc.identifier | ONIX_20210420_9783902613424_71 | |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/64715 | |
dc.description.abstract | Notwithstanding the tremendous effort to solve the face recognition problem, it is not possible yet to design a face recognition system with a potential close to human performance. New computer vision and pattern recognition approaches need to be investigated. Even new knowledge and perspectives from different fields like, psychology and neuroscience must be incorporated into the current field of face recognition to design a robust face recognition system. Indeed, many more efforts are required to end up with a human like face recognition system. This book tries to make an effort to reduce the gap between the previous face recognition research state and the future state. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction | en_US |
dc.subject.other | Human-computer interaction | |
dc.title | State of the Art in Face Recognition | |
dc.type | book | |
oapen.identifier.doi | 10.5772/104 | |
oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
oapen.relation.isbn | 9783902613424 | |
oapen.relation.isbn | 9789535158417 | |
oapen.imprint | IntechOpen | |
oapen.pages | 438 |
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