Intermediate representation in model based recognition using straight line and ellipsoidal arc primitives

Author

Nedevschi, Sergiu ; Marita, Tiberiu ; Puiu, Daniela

Author_Institution

Tech. Univ. of Cluj-Napoca, Romania

fYear

2001

Firstpage

156

Lastpage

161

Abstract

An intermediate representation suitable for the 2D recognition of 3D objects, from a single intensity image is proposed. Determination of the intermediate representation from CAD models and from intensity images is presented. This representation uses as primitives line segments and ellipsoidal arcs. A complete technique for fitting contour lines with these primitives has been developed. The method has been proved very accurate and robust to noise, thus it is suited for a variety of applications such as matching and recognition of objects in real-life images

Keywords

CAD; curve fitting; edge detection; feature extraction; image recognition; image representation; object recognition; 2D recognition; 3D objects; CAD models; contour line fitting; ellipsoidal arc primitives; intensity images; intermediate representation; matching; model-based recognition; straight line; Computer vision; Feature extraction; Fitting; Geometry; Image recognition; Image segmentation; Layout; Manufacturing; Noise robustness; Object detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 2001. Proceedings. 11th International Conference on

Conference_Location

Palermo

Print_ISBN

0-7695-1183-X

Type

conf

DOI

10.1109/ICIAP.2001.957001

Filename

957001