9789813299474 - orthogonal image moments for human-centric visual pattern recognition (cognitive intelligence and robotics) von rahman, s. m. mahbubur; howlader, tamanna; hatzinakos, dimitrios (2 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2020
Serie: Cognitive Intelligence and Robotics, Buch 5 von 9. Buch 5 von 9 - Cognitive Intelligence and Robotics
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 95,25
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Taschenbuch. Zustand: Neu. Orthogonal Image Moments for Human-Centric Visual Pattern Recognition | S. M. Mahbubur Rahman (u. a.) | Taschenbuch | Cognitive Intelligence and Robotics | xii | Englisch | 2020 | Springer | EAN 9789813299474 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg…, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2020
Serie: Cognitive Intelligence and Robotics, Buch 5 von 9. Buch 5 von 9 - Cognitive Intelligence and Robotics
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 111,35
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
