| 书目名称 | Orthogonal Image Moments for Human-Centric Visual Pattern Recognition |
| 编辑 | S. M. Mahbubur Rahman,Tamanna Howlader,Dimitrios H |
| 视频video | |
| 概述 | Focuses on an area of recent research interest, namely human-centric pattern recognition.Brings to light open issues in moment-based visual pattern recognition.Written in an easy-to-understand way wit |
| 丛书名称 | Cognitive Intelligence and Robotics |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2019 |
| 关键词 | Image Moments; Human-Centric Visual Patterns; Pattern Recognition; Discriminative Features; Biometric Se |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-32-9945-0 |
| isbn_softcover | 978-981-32-9947-4 |
| isbn_ebook | 978-981-32-9945-0Series ISSN 2520-1956 Series E-ISSN 2520-1964 |
| issn_series | 2520-1956 |
| copyright | Springer Nature Singapore Pte Ltd. 2019 |
发表于 2025-3-21 19:34:10
