Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots.

ABSTRACT: Face recognition is a technology with great potential in the field of robotics, due to its prominent role in human-robot interaction (HRI). This interaction is a keystone for the successful deployment of robots in areas requiring a customized assistance like education and healthcare, or assisting humans in everyday tasks. These unconstrained environments present additional difficulties for face recognition, extreme head pose variability being one of the most challenging. In this paper, we address this issue and make a fourfold contribution. First, it has been designed a tool for gathering an uniform distribution of head pose images from a person, which has been used to collect a new dataset of faces, both presented in this work. Then, the dataset has served as a testbed for analyzing the d

SUBMITTER: Baltanas SF 

PROVIDER: S-EPMC7833400 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature