Description

Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression, illumination, occlusion, motion blur) make it a difficult problem to solve.

This book describes the progress towards this goal, from a core building block – landmark detection – to the higher level of micro and macro expression recognition. Specifically, the book addresses the modeling of temporal information to coincide with the dynamic nature of the face. It also includes a benchmark of recent solutions along with details about the acquisition of a dataset for such tasks.

Face Analysis Under Uncontrolled Conditions: From Face Detection to Expression Recognition

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Hardback by Romain Belmonte , Benjamin Allaert

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Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and... Read more

    Publisher: ISTE Ltd
    Publication Date: 17/10/2022
    ISBN13: 9781789451115, 978-1789451115
    ISBN10: 1789451116

    Number of Pages: 320

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression, illumination, occlusion, motion blur) make it a difficult problem to solve.

    This book describes the progress towards this goal, from a core building block – landmark detection – to the higher level of micro and macro expression recognition. Specifically, the book addresses the modeling of temporal information to coincide with the dynamic nature of the face. It also includes a benchmark of recent solutions along with details about the acquisition of a dataset for such tasks.

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