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Showing 1 to 8 of 8 for “"Head Pose Estimation"”.

  1. HeadLock : wide-range head pose estimation for low resolution video

    … focuses on data mining technologies to extract head pose information from low resolution video recordings. Head pose, as an approximation of gaze direction, is a key indicator of human behavior and interaction. Extracting head pose information from video recordings is a labor intensive endeavor …

    mit Repository record for HeadLock : wide-range head pose estimation for low resolution video (opens in a new tab)

  2. Multiple Tasks are Better than One: Multi-task Learning and Feature Selection for Head Pose Estimation, Action Recognition and Event Detection

    … of well-defined illumination, background, and pose of the object relative to the camera. Machine Learning (ML) and Computer Vision (CV) have been put together during the development of computer vision in the past decade. Nowadays, machine learning is considered as a powerful tool to solve many …

    trento Repository record for Multiple Tasks are Better than One: Multi-task Learning and Feature Selection for Head Pose Estimation, Action Recognition and Event Detection (opens in a new tab)

  3. Unified Discriminative Subspace Learning for Multimodality Image Analysis

    … image computing, such as face recognition, head pose estimation, realistic expression/emotion analysis, human age estimation, and lipreading.

    uiuc Repository record for Unified Discriminative Subspace Learning for Multimodality Image Analysis (opens in a new tab)

  4. Real-time 3D face localization and verification

    … consists of three parts: face detection, head pose estimation, and face verification. Face detection is performed using a standard detection framework which we significantly improve by leveraging depth information. To estimate the pose of the detected face, we developed a technique that …

    uiuc Repository record for Real-time 3D face localization and verification (opens in a new tab)

  5. Development of Resource-Constrained Computer Vision Algorithms: From Conventional Machine Learning to Deep Learning

    … (CNN) architecture for skeleton detection and head pose estimation. The system successfully realises a proof of concept and achieves target accuracy while meeting strict automotive requirements for processing speed and resource utilisation.<br/><br/>The third project develops a neural network …

    southwales Repository record for Development of Resource-Constrained Computer Vision Algorithms: From Conventional Machine Learning to Deep Learning (opens in a new tab)

  6. Robust and reliable facial landmark detection under challenging conditions

    … for many downstream tasks, such as talking head, face editing, facial emotion recognition and face recognition. Despite the recent progress brought by deep learning, there are still many challenges in this field that render the robustness of corresponding algorithms fragile in real-world …

    uts Repository record for Robust and reliable facial landmark detection under challenging conditions (opens in a new tab)

  7. Embedded Eye-Gaze Tracking On Mobile Devices

    … the technologies typically ubiquitous to gaze estimation such as infra-red lighting, novel alternatives are required that work under common everyday conditions. A person's gaze can be determined through both their head pose as well as the orientation of the eye relative to the head. To meet the …

    de-montfort Repository record for Embedded Eye-Gaze Tracking On Mobile Devices (opens in a new tab)