Dense-Pose2SMPL: 3D Human Body Shape Estimation From a Single and Multiple Images and Its Performance Study
The shape and pose estimation of a human body are essential for human behavior analysis, sports and medical analysis, and virtual reality. Although 2D image data are much easier to acquire than 3D scan data, the estimation accuracy using 2D images is still far below the 3D scanning methodsȁ...
Main Authors: | Dongjun Gu, Youngsik Yun, Thai Thanh Tuan, Heejune Ahn |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9831448/ |
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