Artificial neural network based stereo matching in intelligent space

Barna Reskó, Péter Baranyi, Péter Korondi, Péter Szemes, Hideki Hashimoto

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Intelligent Space is a space which has distributed sensory intelligence and is equipped with actuators. The various devices of sensory intelligence cooperate with each other autonomously, and the whole space has high intelligence, where we can easily interact with computers and robots, and get useful services from them. The most important sensors are video cameras achieving stereo vision, where stereo matching is necessary. This paper presents an artificial neural network for the adjustment of two cameras in order to picture the same spot for means of stereoscopic vision. The two cameras are in a master-slave relationship, where the optical center of the slave camera is adjusted to picture the same point as the optical center of the master camera. The task is performed by a biologically inspired artificial neural network, which can be embedded in an analog neural hardware to produce a real time solution for camera control in stereo vision that is faster than existing solutions.

Original languageEnglish
Pages348-353
Number of pages6
Publication statusPublished - Dec 1 2003
Event2003 IEEE International Conference on Industrial Technology, ICIT - Proceedings - Maribor, Slovenia
Duration: Dec 10 2003Dec 12 2003

Other

Other2003 IEEE International Conference on Industrial Technology, ICIT - Proceedings
CountrySlovenia
CityMaribor
Period12/10/0312/12/03

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Reskó, B., Baranyi, P., Korondi, P., Szemes, P., & Hashimoto, H. (2003). Artificial neural network based stereo matching in intelligent space. 348-353. Paper presented at 2003 IEEE International Conference on Industrial Technology, ICIT - Proceedings, Maribor, Slovenia.