Head Pose Estimation
40 papers with code • 7 benchmarks • 8 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 )
AFLW
COFW
AFLW2000-3D
WFLW
BIWI
Biwi Kinect Head Pose
HPD
Most implemented papers
Fine-Grained Head Pose Estimation Without Keypoints
natanielruiz/deep-head-pose
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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.
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
1adrianb/face-alignment
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ICCV 2017
To this end, we make the following 5 contributions: (a) we construct, for the first time, a very strong baseline by combining a state-of-the-art architecture for landmark localization with a state-of-the-art residual block, train it on a very large yet synthetically expanded 2D facial landmark dataset and finally evaluate it on all other 2D facial landmark datasets.
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
The resulting Wide Headpose Estimation Network (WHENet) is the first fine-grained modern method applicable to the full-range of head yaws (hence wide) yet also meets or beats state-of-the-art methods for frontal head pose estimation.
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Our synergy process leverages a representation cycle for 3DMM parameters and 3D landmarks.
Deep Label Distribution Learning with Label Ambiguity
However, it is difficult to collect sufficient training images with precise labels in some domains such as apparent age estimation, head pose estimation, multi-label classification and semantic segmentation.
Detect Faces Efficiently: A Survey and Evaluations
However, with the tremendous increase in images and videos with variations in face scale, appearance, expression, occlusion and pose, traditional face detectors are challenged to detect various "in the wild" faces.
Face Alignment Assisted by Head Pose Estimation
pocheck-v2/Pocheck-V2-Beta
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In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation.
A Multiresolution 3D Morphable Face Model and Fitting Framework
In this paper, we present the Surrey Face Model, a multi-resolution 3D Morphable Model that we make available to the public for non-commercial purposes.
Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment
Cascaded regression has recently become the method of choice for solving non-linear least squares problems such as deformable image alignment.
Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data
Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serious challenges to current concepts.
