A review of the background material needed for correlation pattern recognition for graduate students and practitioners.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Professor B. V. K. Vijaya Kumar has been a faculty member of the Department of Electrical and Computer Engineering at Carnegie Mellon University since 1982 and was made a full Professor in 1991. He is a senior member of the IEEE and a fellow of the SPIE and the OSA. He has authored or co-authored 7 book chapters and over 300 technical papers.
Inhaltsangabe
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.
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.
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.
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.
Rezensionen
Review of the hardback: ' ... well-written with many diagrams and gray-scale images to illustrate the concepts ... would be especially useful for pattern recognition practitioners interested in expanding their tool dchest b eyond basic correlation.' IAPR Newsletter
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