Design and implementation of an automatic face-image data acquisition system using IP based multi camera

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Current research trends in 3D Face recognition system requires a special hardware for fast capturing face image data from multi angle view. To support this research, we had designed and implemented an automatic image data acquisition system using multi-camera for capturing facial images from 5° different angle views, which spanned horizontally from 180° from left to right, and vertically from horizontal up to 70° above the face. The system was designed using 30 IP cameras that were mounted on two rigid steel arms that had the form of three quarter of a circle, the two steel arms formed the angle of 90° to each other. At each arm, 15 IP cameras were mounted with 5° spacing vertically to each others. This arm was driven by a DC motor which was controlled by a microcontroller and supervised directly by a laptop computer along with the data acquisition activities. The software for capturing images was designed using C# GUI programming language. The system had been working in good condition and image-data were saved in JPEG format. Time duration of capturing images data for one object face expression with 30 times capturing for the whole angle views, was only 3 minutes 44.5 seconds with total number of 16,650 images collected. The delay time between two cameras capturing was less than 1 sec. This project is aimed to support the 3D face recognition research in the department.

Original languageEnglish
Pages (from-to)1042-1049
Number of pages8
JournalInternational Journal of Technology
Volume6
Issue number6
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Data acquisition system
  • IP camera
  • Image data base
  • Instrumentation
  • Microcontroller

Fingerprint Dive into the research topics of 'Design and implementation of an automatic face-image data acquisition system using IP based multi camera'. Together they form a unique fingerprint.

Cite this