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Face Analysis Under Uncontrolled Conditions
Face Analysis Under Uncontrolled Conditions
Knygos.lt klubas Knygos.lt nariams
222,87 €
-30%
Įprastai
318,39 €
  • Išsiųsime per 12–18 d.d.
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…
  • Leidėjas:
  • ISBN-10: 1789451116
  • ISBN-13: 9781789451115
  • Formatas: 15.6 x 23.4 x 1.9 cm, kieti viršeliai
  • Kalba: Anglų

Face Analysis Under Uncontrolled Conditions (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Romain Belmonte
  • Leidėjas:
  • ISBN-10: 1789451116
  • ISBN-13: 9781789451115
  • Formatas: 15.6 x 23.4 x 1.9 cm, kieti viršeliai
  • Kalba: Anglų

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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