Abstract 3D object recognition and pattern recognition are active and fast-growing research
areas in the field of computer vision. It is mandatory to define the pattern class, feature …

Deep learning revolutionized data science, and recently its popularity has grown
exponentially, as did the amount of papers employing deep networks. Vision tasks, such as …

Depth cameras allow to set up reliable solutions for people monitoring and behavior
understanding, especially when unstable or poor illumination conditions make unusable …

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 …

Various applications of human-computer interaction are based on the estimation of head
pose, which is challenging due to different facial appearance, inhomogeneous illumination …

Head pose estimation (HPE) has been widely applied in human attention recognition, robot
vision and assistant driving. Infrared (IR) images bear unique advantages of being still …

This research aims to design and implement a complete safety and comfort device that
integrates a Driving Monitoring System (DMS) and a car Seat Electronic Control Unit …

This paper addresses the problem of head pose estimation with three degrees of freedom
(pitch, yaw, roll) from a single image. Pose estimation is formulated as a high-dimensional to …

Head-pose estimation has many applications, such as social event analysis, human-robot
and human-computer interaction, driving assistance, and so forth. Head-pose estimation is …

Abstract Convolutional Neural Networks (ConvNets) have become the state-of-the-art for
many classification and regression problems in computer vision. When it comes to …