Correlation Pattern Recognition
$64.99 ( ) USD
- Authors:
- B. V. K. Vijaya Kumar, Carnegie Mellon University, Pennsylvania
- Abhijit Mahalanobis, Lockheed Martin Missiles & Fire Control, Orlando, Florida
- Richard D. Juday
- Date Published: February 2006
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9780511133206
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Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.
Read more- A self-contained introduction to the field, covering prerequisite topics
- Includes case studies with significant relevance
- Background of authors spans academia, industry and government, giving the material breadth
Reviews & endorsements
An excellent book...It provides an overview of the discipline and summarizes recent research that should facilitate the seasoned worker in this field. Highly recommended.
ChoiceSee more reviews"This book educates the reader on the richness of correlation...This book is well-written with many diagrams and gray-scale images to illustrate the concepts...This book is intended for advanced undergraduate and graduate students, and would be especially useful for pattern recognition practitioners interested in expanding their tool chest beyond basic correlation."
IAPR NewsletterCustomer reviews
02nd May 2024 by UName-891322
It is prefect. I like it very much. Can i have it?
Review was not posted due to profanity
×Product details
- Date Published: February 2006
- format: Adobe eBook Reader
- isbn: 9780511133206
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
Preface
1. Introduction
2. Mathematical background
3. Linear systems and filtering theory
4. Detection and estimation
5. Correlation filter basics
6. Advanced correlation filters
7. Optical considerations
8. Limited-modulation filters
9. Applications of correlation filters
References
Index.
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