| 书目名称 | Unconstrained Face Recognition |
| 编辑 | Shaohua Kevin Zhou,Rama Chellappa,Wenyi Zhao |
| 视频video | |
| 概述 | Includes an up-to-date survey of unconstrained face recognition.Professional practitioners of face recognition and other biometrics can use this book as a reference, directly extracting algorithms for |
| 丛书名称 | International Series on Biometrics |
| 图书封面 |  |
| 描述 | .Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. .Unconstrained Face Recognition. provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms...Unconstrained Face Recognition. is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science. . |
| 出版日期 | Book 2006 |
| 关键词 | algorithms; computer science; performance; tracking; video |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-29486-5 |
| isbn_softcover | 978-1-4419-3890-9 |
| isbn_ebook | 978-0-387-29486-5 |
| copyright | Springer-Verlag US 2006 |
发表于 2025-3-21 18:58:41
