This paper proposes a recognition method which enables a model driven vision system to recognize a 3-D object with a single view using visual transformation. The term visual transformation here means geometrical transformation (rotation, translation, and magnification) and projection. When a 3-D object is represented by an attributed hypergraph (AHG) G, any single view of the object can also be expressed by an AHG say g. The recognition process involves establishing a matching between G and g. If the attributes are not considered, g is a subgraph of G. The attributes of g can be converted from those of G by a visual transformation. The objective of this research is to study the transformations of these attributes and determine if there is a possible visual transformation between the given attributes. As application, we can determine the monomorphism between the AHG of the model of an object and the AHG of a single view of the object.
Andrew K. C. Wong,
C. W. Li,
"Visual transformation of a 3D object in attribute hypergraph representation", Proc. SPIE 1827, Model-Based Vision, (20 April 1993); doi: 10.1117/12.143070; https://doi.org/10.1117/12.143070