E-Book, Englisch, 149 Seiten, eBook
Rahman / Howlader / Hatzinakos Orthogonal Image Moments for Human-Centric Visual Pattern Recognition
1. Auflage 2019
ISBN: 978-981-329-945-0
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 149 Seiten, eBook
Reihe: Cognitive Intelligence and Robotics
ISBN: 978-981-329-945-0
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expression recognition, fingerprint recognition and iris recognition. The usefulness of moments and their invariants in pattern recognition is well known. What is less well known is how orthogonal moments may be applied to specific problems in human-centric visual pattern recognition. Unlike previous books, this work highlights the fundamental issues involved in moment-based pattern recognition, from the selection of discriminative features in a high-dimensional setting, to addressing the question of how to classify a large number of patterns based on small training samples. In addition to offering new concepts that illustrate the use of statistical methods in addressing some of these issues, the book presents recent results and provides guidance on implementing the methods. Accordingly, it will be of interest to researchers and graduate students working in the broad areas of computer vision and visual pattern recognition.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1 Introduction.- 2 Image Moments.- 3 Face Recognition.- 4 Expression Recognition.- 5 Fingerprint Classi?cation.- 6 Iris Recognition.- 7 Hand Gesture Recognition.- 8 Conclusion.