Orthogonal image moments for human-centric visual pattern recognition. (2019)
- Record Type:
- Book
- Title:
- Orthogonal image moments for human-centric visual pattern recognition. (2019)
- Main Title:
- Orthogonal image moments for human-centric visual pattern recognition
- Further Information:
- Note: S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos.
- Authors:
- Rahman, S. M. Mahbubur
Howlader, Tamanna
Hatzinakos, Dimitrios - Contents:
- Intro; Preface; Contents; About the Authors; 1 Introduction; 1.1 Introduction; 1.2 Pattern Recognition: Mimicking the Human Visual System; 1.3 Human-Centric Visual Patterns; 1.4 Features for Visual Pattern Recognition; 1.5 Moments as Features; 1.6 Outline of the Book; References; 2 Image Moments and Moment Invariants; 2.1 Introduction; 2.2 Geometric Moments; 2.2.1 Preliminaries of Geometric Moments; 2.2.2 Discrete Implementation of Geometric Moments; 2.2.3 Geometric Moments and Fourier Transform; 2.3 Orthogonal Moments; 2.3.1 Gaussian-Hermite Moments; 2.3.2 Krawtchouk Moments 2.3.3 Tchebichef Moments2.3.4 Zernike Moments; 2.4 Invariance Properties of 2D Moments; 2.4.1 Translation Invariants; 2.4.2 Scaling Invariants; 2.4.3 Rotation Invariants; 2.4.4 Invariants of Orthogonal Moments; 2.5 Conclusion; References; 3 Face Recognition; 3.1 Introduction; 3.2 What is Face Recognition?; 3.3 Facial Features: A Brief Review; 3.4 Moments as Facial Features; 3.5 Discriminative Selection of Moments; 3.5.1 ICC-Based Selection of Moments; 3.5.2 Fisher Scoring of Moments; 3.5.3 AVR-Based Selection of Moments; 3.5.4 Discriminative Features from Moments 3.6 Classification of Discriminative Features3.6.1 Naive Bayes Classifier; 3.6.2 Quadratic Discriminant Classifier; 3.6.3 Nearest Neighbor Classifier; 3.7 Experiments on Moment-Based Face Recognition; 3.7.1 Face Databases; 3.7.2 DGHMs for Appearance-Type Recognition; 3.7.3 DKCMs for Hybrid-Type Recognition; 3.7.4 DGHMs for Recognition in SSSIntro; Preface; Contents; About the Authors; 1 Introduction; 1.1 Introduction; 1.2 Pattern Recognition: Mimicking the Human Visual System; 1.3 Human-Centric Visual Patterns; 1.4 Features for Visual Pattern Recognition; 1.5 Moments as Features; 1.6 Outline of the Book; References; 2 Image Moments and Moment Invariants; 2.1 Introduction; 2.2 Geometric Moments; 2.2.1 Preliminaries of Geometric Moments; 2.2.2 Discrete Implementation of Geometric Moments; 2.2.3 Geometric Moments and Fourier Transform; 2.3 Orthogonal Moments; 2.3.1 Gaussian-Hermite Moments; 2.3.2 Krawtchouk Moments 2.3.3 Tchebichef Moments2.3.4 Zernike Moments; 2.4 Invariance Properties of 2D Moments; 2.4.1 Translation Invariants; 2.4.2 Scaling Invariants; 2.4.3 Rotation Invariants; 2.4.4 Invariants of Orthogonal Moments; 2.5 Conclusion; References; 3 Face Recognition; 3.1 Introduction; 3.2 What is Face Recognition?; 3.3 Facial Features: A Brief Review; 3.4 Moments as Facial Features; 3.5 Discriminative Selection of Moments; 3.5.1 ICC-Based Selection of Moments; 3.5.2 Fisher Scoring of Moments; 3.5.3 AVR-Based Selection of Moments; 3.5.4 Discriminative Features from Moments 3.6 Classification of Discriminative Features3.6.1 Naive Bayes Classifier; 3.6.2 Quadratic Discriminant Classifier; 3.6.3 Nearest Neighbor Classifier; 3.7 Experiments on Moment-Based Face Recognition; 3.7.1 Face Databases; 3.7.2 DGHMs for Appearance-Type Recognition; 3.7.3 DKCMs for Hybrid-Type Recognition; 3.7.4 DGHMs for Recognition in SSS Case; 3.8 Conclusion; References; 4 Expression Recognition; 4.1 Introduction; 4.2 Related Works on Facial Expression Analysis; 4.3 Representation of Facial Expressions Using Moments; 4.4 Discriminative Versus Differential Components of Moments 4.5 Moment-Based Features for Facial Expressions4.5.1 Discriminative Selection of Moments; 4.5.2 Differential Components for Moment-Based Features; 4.5.3 Expressive Moment-Based Feature Vector; 4.6 Feature Classification; 4.7 Overview of Moment-Based FER System; 4.8 Experimental Results; 4.8.1 Expression Databases; 4.8.2 Experimental Setup; 4.8.3 Performance Evaluation; 4.9 Conclusion; References; 5 Fingerprint Classification; 5.1 Introduction; 5.2 Related Works; 5.3 Moments and Singular Points; 5.4 Extraction of Singular Points; 5.5 Classification of Fingerprints; 5.6 Experimental Results 5.7 ConclusionReferences; 6 Iris Recognition; 6.1 Introduction; 6.2 Iris Template from Eye Images; 6.2.1 Eye in Constrained Setting; 6.2.2 Eye in Unconstrained Setting; 6.2.3 Rectangular Iris Template; 6.3 Binary Features for IrisCode; 6.3.1 Moment-Based IrisCodes; 6.4 Discriminative Masking of IrisCode; 6.5 Verification Performance of IrisCode; 6.6 Experimental Results; 6.7 Conclusion; References; 7 Conclusion; 7.1 Summary of Moment-Based Visual Pattern Recognition; 7.2 Future Directions on Moment-Based Pattern Recognition; References … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xii, 149 pages), illustrations (some color)
- Subjects:
- 006.4
Pattern recognition systems
Computer vision
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789813299450
9813299452 - Related ISBNs:
- 9789813299443
- Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed October 14, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.465370
- Ingest File:
- 02_608.xml