Monocular Human Depth Estimation Via Pose Estimation

We propose a novel monocular depth estimator, which improves the prediction accuracy on human regions by utilizing pose information. The proposed algorithm consists of two networks — PoseNet and DepthNet — to estimate keypoint heatmaps and a depth map, respectively. We incorpor...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang-Su Kim
Format: article
Langue:EN
Publié: IEEE 2021
Sujets:
Accès en ligne:https://doaj.org/article/362374746b434f51bfc40a80c1a6f80d
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!