| 书目名称 | Computational Techniques for Human Smile Analysis | | 编辑 | Hassan Ugail,Ahmad Ali Asad Aldahoud | | 视频video | | | 概述 | Explains how to implement computational techniques for human smile analysis.Shares insights into the human personality traits hidden in a smile.Enriches the understanding of human emotions through exa | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | ..In this book, the authors discuss the recent developments in computational techniques for automated non-invasive facial emotion detection and analysis with particular focus on the smile. By way of applications, they discuss how genuine and non-genuine smiles can be inferred, how gender is encoded in a smile and how it is possible to use the dynamics of a smile itself as a biometric feature...It is often said that the face is a window to the soul. Bearing a metaphor of this nature in mind, one might find it intriguing to understand, if any, how the physical, behavioural as well as emotional characteristics of a person could be decoded from the face itself. With the increasing deductive power of machine learning techniques, it is becoming plausible to address such questions through the development of appropriate computational frameworks. Though there are as many as over twenty five categories of emotions one could express, regardless of the ethnicity, gender or social class, across humanity, there exist six common emotions – namely happiness, sadness, surprise, fear, anger and disgust - all of which can be inferred from facial expressions. Of these facial expressions, the smile is | | 出版日期 | Book 2019 | | 关键词 | Face Analysis; Smile Analysis; Computational Methods; Smile Dynamics; Machine Learning; Facial Emotion An | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-15381-6 | | isbn_softcover | 978-3-030-15380-9 | | isbn_ebook | 978-3-030-15381-6Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 18:30:47
