Study and Realization of the Basic Methods of the Calibration in Stereopsis For Augmented Reality

Abstract

Augmented reality (RA) is aimed at ameliorating our perception of the real world by addition of elements which are not a priori observable by the human eye. RA is define as a system able of combining real and virtual pictures, in 3D and real-time. The virtual objects must be cast in a consistent manner in real pictures. In practice, objects are positioned in a landmark linked to the scene, and objective is to determine the point of view of the camera (position and orientation) in this landmark, which we are going to see in the next scene of calibration of camera. Camera calibration is a fundamental problem in computer vision. In this paper, we developed a semi automatic calibration method for our augmented reality system, which uses corner detection to extract pixel coordinates of projection points and uses homography to build the correspondence. So my method allows reconstruction 3D of the scene. To find resolution they use projections instead of the Euclidean methods which allow acquiring a good result with average error between the re-projected points and pixel points is round 2 pixels. Potential applications of this method are: applications real-time in the domains of medicine, service of fabricated objects, industry.