A symbolic representation for 3D object feature detection

Author

Neal, Pamela J. ; Shapiro, Linda G.

Author_Institution

Dept. of Electr. Eng., US Air Force Acad., Colorado Springs, CO, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

221

Abstract

We define a spatial symbolic model that can be used to describe classes of 3D objects (anatomical and man-made) and a method for finding correspondences between the features of the symbolic models and point sets of 3D mesh data. An abstract symbolic model is used to describe spatial object classes in terms of parts, boundaries, and spatial associations. A working model is a mechanism to link the symbolic model to geometric information found in a sensed instance of the class, represented by a 3D mesh data set. Matching is performed in a three-step procedure that first finds working sets of points in the mesh, then fits constructed features to these sets, and finally selects a subset of these constructed features that best correspond to the features of the working model

Keywords

computer vision; feature extraction; set theory; 3D mesh data; 3D object feature detection; abstract symbolic model; geometric information; spatial object classes; spatial symbolic model; symbolic representation; Artificial intelligence; Computer science; Computer vision; Image reconstruction; Informatics; Object detection; Object recognition; Solid modeling; Spatial databases; Telerobotics;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.905307

Filename

905307