Head Pose Estimation

29 papers with code • 6 benchmarks • 5 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 )

Most implemented papers

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

1adrianb/face-alignment 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.

Fine-Grained Head Pose Estimation Without Keypoints

natanielruiz/deep-head-pose 2 Oct 2017

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.

WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose

Ascend-Research/HeadPoseEstimation-WHENet 20 May 2020

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.

Detect Faces Efficiently: A Survey and Evaluations

ShiqiYu/libfacedetection 3 Dec 2021

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 11 Jul 2015

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

patrikhuber/eos 1 Feb 2016

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

trigeorgis/mdm CVPR 2016

Cascaded regression has recently become the method of choice for solving non-linear least squares problems such as deformable image alignment.

Deep Label Distribution Learning with Label Ambiguity

gaobb/DLDL 6 Nov 2016

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.

Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

eric-erki/Visualising-Facial-Expression-Changes 11 Mar 2017

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.

HoloFace: Augmenting Human-to-Human Interactions on HoloLens

MarekKowalski/HoloFace 1 Feb 2018

Head pose estimation is accomplished by fitting a deformable 3D model to the landmarks localized using face alignment.