TY - GEN
T1 - Museum guide through annotations using augmented reality
AU - Aracena-Pizarro, Diego
AU - Mamani-Castro, Jovanna
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Augmented reality
KW - Homography
KW - Principal component vector (PCV)
KW - Wrapping
UR - https://www.scopus.com/pages/publications/84862106951
M3 - Conference contribution
AN - SCOPUS:84862106951
SN - 9788086943886
T3 - 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
SP - 35
EP - 38
BT - 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
T2 - 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010
Y2 - 1 February 2010 through 4 February 2010
ER -