Binocular vision-based augmented reality system with an increased registration depth using dynamic correction of feature positions

In vision-based augmented reality systems, the relationship between the real and virtual worlds needs to be estimated to perform the registration of the virtual objects. This paper suggests a registration method which increases the registration depth of video see-through augmented reality systems using binocular cameras. The method uses both monocular and stereoscopic vision-based techniques in order to perform the registration. Also, the registration method can be combined with a facultative correction of the 2D positions of the feature points. The correction increases the stability and the accuracy of the proposed registration method.