Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction
Head pose estimation is an important way to understand human attention in the human-
computer interaction. In this paper, we propose a novel anisotropic angle distribution …
computer interaction. In this paper, we propose a novel anisotropic angle distribution …
Multimodal face-pose estimation with multitask manifold deep learning
Face-pose estimation aims at estimating the gazing direction with two-dimensional face
images. It gives important communicative information and visual saliency. However, it is …
images. It gives important communicative information and visual saliency. However, it is …
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom
Head pose estimation (HPE) under active infrared (IR) illumination has attracted much
attention in the fields of computer vision and machine learning. However, IRHPE often …
attention in the fields of computer vision and machine learning. However, IRHPE often …
Poseidon: Face-from-depth for driver pose estimation
Fast and accurate upper-body and head pose estimation is a key task for automatic
monitoring of driver attention, a challenging context characterized by severe illumination …
monitoring of driver attention, a challenging context characterized by severe illumination …
RGB-D datasets using microsoft kinect or similar sensors: a survey
RGB-D data has turned out to be a very useful representation of an indoor scene for solving
fundamental computer vision problems. It takes the advantages of the color image that …
fundamental computer vision problems. It takes the advantages of the color image that …
Head pose estimation using deep neural networks and 3D point clouds
In this paper, we propose head pose estimation using deep neural networks and 3D point
cloud. Unlike existing methods that either take 2D RGB image or 2D depth image as input …
cloud. Unlike existing methods that either take 2D RGB image or 2D depth image as input …
Head pose estimation: An extensive survey on recent techniques and applications
Biometric based systems are involved in many areas, from surveillance to user
authentication, from autonomous systems to human-robot interactions. Head pose …
authentication, from autonomous systems to human-robot interactions. Head pose …
Face-from-depth for head pose estimation on depth images
Depth cameras allow to set up reliable solutions for people monitoring and behavior
understanding, especially when unstable or poor illumination conditions make unusable …
understanding, especially when unstable or poor illumination conditions make unusable …
3D head pose estimation with convolutional neural network trained on synthetic images
X Liu, W Liang, Y Wang, S Li… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
In this paper, we propose a method to estimate head pose with convolutional neural
network, which is trained on synthetic head images. We formulate head pose estimation as a …
network, which is trained on synthetic head images. We formulate head pose estimation as a …
A deep coarse-to-fine network for head pose estimation from synthetic data
Various applications of human-computer interaction are based on the estimation of head
pose, which is challenging due to different facial appearance, inhomogeneous illumination …
pose, which is challenging due to different facial appearance, inhomogeneous illumination …