Learning Monocular 3D Human Pose Estimation from Multi-view Images

by   Helge Rhodin, et al.

Accurate 3D human pose estimation from single images is possible with sophisticated deep-net architectures that have been trained on very large datasets. However, this still leaves open the problem of capturing motions for which no such database exists. Manual annotation is tedious, slow, and error-prone. In this paper, we propose to replace most of the annotations by the use of multiple views, at training time only. Specifically, we train the system to predict the same pose in all views. Such a consistency constraint is necessary but not sufficient to predict accurate poses. We therefore complement it with a supervised loss aiming to predict the correct pose in a small set of labeled images, and with a regularization term that penalizes drift from initial predictions. Furthermore, we propose a method to estimate camera pose jointly with human pose, which lets us utilize multi-view footage where calibration is difficult, e.g., for pan-tilt or moving handheld cameras. We demonstrate the effectiveness of our approach on established benchmarks, as well as on a new Ski dataset with rotating cameras and expert ski motion, for which annotations are truly hard to obtain.


page 2

page 5

page 6

page 7

page 8


CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild

Human pose estimation from single images is a challenging problem in com...

PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation

We propose a new 2D pose refinement network that learns to predict the h...

Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild

One major challenge for monocular 3D human pose estimation in-the-wild i...

3D Human Pose Estimation under limited supervision using Metric Learning

Estimating 3D human pose from monocular images demands large amounts of ...

Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation

Current state-of-the-art methods cast monocular 3D human pose estimation...

MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation

Cross view feature fusion is the key to address the occlusion problem in...

Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey

A large field-of-view fisheye camera allows for capturing a large area w...

Please sign up or login with your details

Forgot password? Click here to reset