DensePose: Dense Human Pose Estimation in the Wild

In this work we establish dense correspondences between an RGB image and a surface-based representation of the human body, a task we refer to as dense human pose estimation. We gather dense correspondences for 50K persons appearing in the COCO dataset by introducing an efficient annotation pipeline....

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Bibliographic Details
Published in2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 7297 - 7306
Main Authors Guler, Riza Alp, Neverova, Natalia, Kokkinos, Iasonas
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
Subjects
Deformable models
Pipelines
Pose estimation
Solid modeling
Task analysis
Three-dimensional displays
Training
Online AccessGet full text
ISSN1063-6919
DOI10.1109/CVPR.2018.00762

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