356,39 €
395,99 €
-10% with code: EXTRA
Face Analysis Under Uncontrolled Conditions
Face Analysis Under Uncontrolled Conditions
356,39
395,99 €
  • We will send in 10–14 business days.
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 - landm…
  • Publisher:
  • ISBN-10: 1789451116
  • ISBN-13: 9781789451115
  • Format: 15.6 x 23.4 x 1.9 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Face Analysis Under Uncontrolled Conditions (e-book) (used book) | bookbook.eu

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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 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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  • Author: Romain Belmonte
  • Publisher:
  • ISBN-10: 1789451116
  • ISBN-13: 9781789451115
  • Format: 15.6 x 23.4 x 1.9 cm, hardcover
  • Language: English English

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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