Museum guide through annotations using augmented reality

Abstract

The identification of objects displayed in existing Archaeological Museums, requires the observer to recognize the object or the associated concepts in the thematic environment. Usually, the visitor has a written guide or an expert that accompanies him on his visit. This paper presents an automated guide through annotations in Augmented Reality (AR) unmarked fiducial or free marker, by the recognition of objects shown in the showcase of the museum, showing 2D annotations on the objects. For that purpose, using Head Mounted Displays (HMD) or mobile PDA, the observer can see these annotations. The recognition is based specifically on mathematical relationships that gives us the principal component analysis (PCA), which evolves to create vectors that show more clearly the relationships in the image, which are known as principal component vectors (PCV). These concepts are used to identify archaeological objects and to create a symbolic image database for 3D archaeological objects existing in museum’s showcases, which allows to conform the museum’s guide system in appropriate time. The work helps in shaping an appropriate proposal of recognition to create the symbolic image database of objects, the proper record of annotations on objects, when the mouse click selects it. This record is achieved by robust calculation, and monitoring based on homographies to ensure the insertion of the adequate annotation.