Title :
Feature-based recognition of triangulated arbitrary surfaces
Author :
Choo, Chang Y. ; Bloom, Jeffrey A. ; Kwak, William I.
Author_Institution :
Dept. of Electr. Eng., Worcester Polytech. Inst., MA, USA
Abstract :
A procedure is presented for recognizing an object from its range data. A set of object surface data points are segmented into triangular patches using a small number of knot points. These knot points are placed by the local adjustment technique. For the resulting triangulated surface model, high-level edge lines are extracted using unit normal vectors of the triangular patches. This set of high-level primitives is used to construct a graph structure for each object. Experimental results are presented for a set of objects with salient features
Keywords :
computer vision; graph theory; computer vision; feature-based recognition; graph structure; high-level edge lines; high-level primitives; local adjustment technique; triangulated arbitrary surfaces; Computer integrated manufacturing; Data compression; Data mining; Geometry; Linear approximation; Object recognition; Optical reflection; Polynomials; Solid modeling; Transmission line matrix methods;
Conference_Titel :
Computer Integrated Manufacturing, 1990., Proceedings of Rensselaer's Second International Conference on
Conference_Location :
Troy, NY
Print_ISBN :
0-8186-1966-X
DOI :
10.1109/CIM.1990.128082
