John D. Lipson

Bio: John D. Lipson is an academic researcher. The author has contributed to research in topics: Algebra representation & Filtered algebra. The author has an hindex of 1, co-authored 1 publications receiving 132 citations.

Handbook of Applied Cryptography

Abstract: From the Publisher: A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols; more than 200 tables and figures; more than 1,000 numbered definitions, facts, examples, notes, and remarks; and over 1,250 significant references, including brief comments on each paper.

Template Matching Techniques in Computer Vision: Theory and Practice

Abstract: The detection and recognition of objects in images is a key research topic in the computer vision community Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli: examines the basics of digital image formation, highlighting points critical to the task of template matching; presents basic and advanced template matching techniques, targeting grey-level images, shapes and point sets; discusses recent pattern classification paradigms from a template matching perspective; illustrates the development of a real face recognition system; explores the use of advanced computer graphics techniques in the development of computer vision algorithms Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development of systems for effective object recognition such as biometrics, robot navigation, multimedia retrieval and landmark detection It is also of interest to graduate students undertaking studies in these areas

How to share a secret with cheaters

Abstract: This paper demonstrates that Shamir’s scheme (“How to share a secret”, Communications of the ACM, vol. 22, no. 11, November 1979, 612–613) is not secure against cheating. A small modification to his scheme retains the security and efficiency of the original, is secure against cheating, and preserves the property that its security does not depend on any unproven assumptions such as the intractability of computing number-theoretic functions.