Earticle

초록

영어

This paper aims at making a contribution to a typical recognition scheme by means of providing position information of the recognized objects. In the near future, robotics systems are expected to be able to provide services in humans’daily life which can only be achieved if they are designed with advanced intelligent vision systems. Highly motivated from that fact, this work presents a framework capable of recognizing objects and estimating their location in the 3D space. The method excels in simplicity and computational cost, whilst its database can be easily adopted to the needs of simultaneous multi-object recognition. In real-life scenarios, lighting conditions may alter drastically and, along with possible shadow effects, may affect directly the efficiency of the visual data encoding scheme. Towards this end, recently proposed image enhancement methods emphasize in reducing the effect of unfavorable illumination conditions and their consequences. The proposed 3D position estimation framework was assessed under several image-enhancement conditions by means of selecting the most appropriate pre-processing algorithm.

목차

Introduction
 Image Enhancement Methods
 3D Position Estimation
 Experimental Results
  Database Construction
  3D Position Estimation
 Conclusions

저자

• Rigas Kouskouridas [ Group of Robotics and Cognitive Systems, Department of Production and Management Engineering, Democritus University of Thrace ]
• Antonios Gasteratos [ Group of Robotics and Cognitive Systems, Department of Production and Management Engineering, Democritus University of Thrace ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605