9783540644101-3540644105-Face Recognition: From Theory to Applications (Nato ASI Subseries F:)

Face Recognition: From Theory to Applications (Nato ASI Subseries F:)

ISBN-13: 9783540644101
ISBN-10: 3540644105
Edition: 1
Author: Harry Wechsler, J. Phillips H. Wechsler V. Bruce
Publication date: 1998
Publisher: Springer
Format: Hardcover 636 pages
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Book details

ISBN-13: 9783540644101
ISBN-10: 3540644105
Edition: 1
Author: Harry Wechsler, J. Phillips H. Wechsler V. Bruce
Publication date: 1998
Publisher: Springer
Format: Hardcover 636 pages

Summary

Face Recognition: From Theory to Applications (Nato ASI Subseries F:) (ISBN-13: 9783540644101 and ISBN-10: 3540644105), written by authors Harry Wechsler, J. Phillips H. Wechsler V. Bruce, was published by Springer in 1998. With an overall rating of 3.6 stars, it's a notable title among other books. You can easily purchase or rent Face Recognition: From Theory to Applications (Nato ASI Subseries F:) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.

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