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...

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Autores principales: Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang-Su Kim
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/362374746b434f51bfc40a80c1a6f80d
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