| 书目名称 | Human Emotion Recognition from Face Images | | 编辑 | Paramartha Dutta,Asit Barman | | 视频video | http://file.papertrans.cn/430/429137/429137.mp4 | | 概述 | Presents the novel use of various signatures as effective features for emotion recognition.Discusses the innovative use of associated stability to evaluate the robustness of the underlying signature.D | | 丛书名称 | Cognitive Intelligence and Robotics | | 图书封面 |  | | 描述 | .This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition. .The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining thesignatures rather than using them individually..There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencie | | 出版日期 | Book 2020 | | 关键词 | Grid Formation; Distance Signature; Shape Signature; Texture Signature; Stability Index | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-3883-4 | | isbn_softcover | 978-981-15-3885-8 | | isbn_ebook | 978-981-15-3883-4Series ISSN 2520-1956 Series E-ISSN 2520-1964 | | issn_series | 2520-1956 | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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