EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Face Recognition Methods Applications And Technology Adamo Quaglia

Name: Face Recognition Methods Applications And Technology Adamo Quaglia
SKU: BELL-4726590
Price: 31.00 USD
Availability: InStock
Rating: 4.4 (102 reviews)

SKU: BELL-4726590

$ 31.00 ~~$ 45.00~~ (-31%)

4.4

102 reviews

Face Recognition Methods Applications And Technology Adamo Quaglia instant download after payment.

Publisher: Nova Science Publishers

File Extension: PDF

File size: 19.66 MB

Pages: 238

Author: Adamo Quaglia

ISBN: 9781619426634, 1619426633

Language: English

Year: 2012

Product desciption

Face Recognition Methods Applications And Technology Adamo Quaglia by Adamo Quaglia 9781619426634, 1619426633 instant download after payment.

Face recognition has been an active area of research in image processing and computer vision due to its extensive range of prospective applications relating to biometrics, information security, video surveillance, law enforcement, identity authentication, smart cards, and access control systems. Topics discussed in this compilation include two-dimensional principal component analysis algorithms for face recognition principal component analysis (PCA) and artificial immune networks in face recognition multi-class learning facial age estimation and forensic face recognition.