Head Pose Estimation
48 papers with code • 9 benchmarks • 10 datasets
Estimating the head pose of a person is a crucial problem that has a large amount of applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video and performing face alignment.
( Image credit: FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image )
Benchmarks
These leaderboards are used to track progress in Head Pose Estimation
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Libraries
Use these libraries to find Head Pose Estimation models and implementations
AFLW
AFLW2000-3D
Panoptic
COFW
WFLW
BIWI
Biwi Kinect Head Pose
HPD
Latest papers
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Existing head pose estimation datasets are either composed of numerous samples by non-realistic synthesis or lab collection, or limited images by labor-intensive annotating.
FaceXFormer: A Unified Transformer for Facial Analysis
Unlike these conventional methods, our FaceXformer leverages a transformer-based encoder-decoder architecture where each task is treated as a learnable token, enabling the integration of multiple tasks within a single framework.
On the representation and methodology for wide and short range head pose estimation
pcr-upm/opal23_headpose
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Pattern Recognition 2024
We also propose a generalization of the geodesic angular distance metric that enables the construction of a loss that controls the contribution of each training sample to the optimization of the model.
Appearance-based gaze estimation enhanced with synthetic images using deep neural networks
Human eye gaze estimation is an important cognitive ingredient for successful human-robot interaction, enabling the robot to read and predict human behavior.
2D Image head pose estimation via latent space regression under occlusion settings
Head orientation is a challenging Computer Vision problem that has been extensively researched having a wide variety of applications.
Real-time 6DoF full-range markerless head pose estimation
Redhwan-A/6DoFHPE
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journal 2023
This study presents a framework designed to estimate a head pose without landmark localization.
Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
Together with new accumulated training data that provides full head pose rotation data and a geodesic loss approach for stable learning, we design an advanced model that is able to predict an extended range of head orientations.
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
Thanks to the proposed fusion module, our method is robust not only to occlusion and large pitch and roll view angles, which is the benefit of our image space approach, but also to noise and large yaw angles, which is the benefit of our model space method.
DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
hnuzhy/directmhp
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We present comprehensive comparisons with state-of-the-art single HPE methods on public benchmarks, as well as superior baseline results on our constructed MPHPE datasets.
Domain Adaptation for Head Pose Estimation Using Relative Pose Consistency
kuhnkeF/headposeplus
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IEEE Transactions on Biometrics, Behavior, and Identity Science 2023
We propose a strategy to exploit the relative pose introduced by pose-altering augmentations between augmented image pairs, to allow the network to benefit from relative pose labels during training on unlabeled data.
