Facial Recognition Experiments on a Robotic System Using One-Shot Learning

Author(s)

Belo, Jose Pedro R. ; Sanches, Felipe P. ; Romero, Roseli A. F. ; Colombini, EL ; Junior, PLJD ; Garcia, LTD ; Goncalves, LMG ; Sa, STD ; Estrada, EDD ; Botelho, SSD

• Document type: Journal article
• Source: 2019 LATIN AMERICAN ROBOTICS SYMPOSIUM, 2019 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR) AND 2019 WORKSHOP ON ROBOTICS IN EDUCATION (LARS-SBR-WRE 2019); v. N/A, p. 7-pg., 2019-01-01.

Abstract

One of the crucial tasks during the interaction human-robot is the face recognition task on digital images. Firstly, the task of recognition requires face detection and a continuing procedure for extracting face characteristics and dealing with the brightness of the environment's faces positioned at different angles and sometimes occlusion problems. In this paper, the aim is to explore the One-shot learning technique, which considers only one image of each person for face detection and uses information extracted from other image databases for this. One of its modifications, Face Recognition algorithm, is applied to recognize people during sessions of interaction with a humanoid robot. This algorithm uses the Dlib capabilities to detect, extract and recognize faces through bases with a singular face image. The results of the experiments performed are presented and show how useful is this kind of learning technique for interactions of a robot with humans. (AU)

• FAPESP's process: 14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment
• Grantee: Marco Henrique Terra
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 17/01687-0 - Architecture and applications for robotics in intelligent environments
• Grantee: Roseli Aparecida Francelin Romero
• Support Opportunities: Regular Research Grants