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Orthogonal image moments for human-c...

Hatzinakos, Dimitrios.

Orthogonal image moments for human-centric visual pattern recognition

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Orthogonal image moments for human-centric visual pattern recognitionby S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos.
作者:	Rahman, S. M. Mahbubur.
其他作者:	Howlader, Tamanna.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	xii, 149 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Pattern recognition systems.
電子資源:	https://doi.org/10.1007/978-981-32-9945-0
ISBN:	9789813299450$q(electronic bk.)

Orthogonal image moments for human-centric visual pattern recognition
Rahman, S. M. Mahbubur.

Orthogonal image moments for human-centric visual pattern recognition[electronic resource] /by S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos. - Singapore :Springer Singapore :2019. - xii, 149 p. :ill. (some col.), digital ;24 cm. - Cognitive intelligence and robotics,2520-1956. - Cognitive intelligence and robotics..

1 Introduction -- 2 Image Moments -- 3 Face Recognition -- 4 Expression Recognition -- 5 Fingerprint Classiﬁcation -- 6 Iris Recognition -- 7 Hand Gesture Recognition -- 8 Conclusion.

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.

ISBN: 9789813299450$q(electronic bk.)

Standard No.: 10.1007/978-981-32-9945-0doiSubjects--Topical Terms:

183725
Pattern recognition systems.

LC Class. No.: TK7882.P3 / R34 2019

Dewey Class. No.: 006.4

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