Artificial neural network based stereo matching in Intelligent Space

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.