Location Assignment of Recognized Objects via a Multi-Camera System

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 de-signed 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.