Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation

Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation

Abstract Head pose estimation (HPE) notoriously represents a crucial task for many computer vision applications in robotics, biometry and video surveillance. While, in general, HPE can be performed on both still images and frames extracted from live video or captured footage, its functional approach...

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Bibliographic Details
Main Authors: Paola Barra, Riccardo Distasi, Chiara Pero, Stefano Ricciardi, Maurizio Tucci
Format: Article
Language:English
Published: Hindawi-IET 2022-07-01
Series:IET Biometrics
Subjects:
computer vision
face biometrics
pose estimation
Online Access:https://doi.org/10.1049/bme2.12061

Internet

https://doi.org/10.1049/bme2.12061

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