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Proceedings Paper

Automatic image database generation from CAD for 3D object recognition
Author(s): Harish K. Sardana; Mohammad Farhang Daemi; Mohammad K. Ibrahim
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Paper Abstract

The development and evaluation of Multiple-View 3-D object recognition systems is based on a large set of model images. Due to the various advantages of using CAD, it is becoming more and more practical to use existing CAD data in computer vision systems. Current PC- level CAD systems are capable of providing physical image modelling and rendering involving positional variations in cameras, light sources etc. We have formulated a modular scheme for automatic generation of various aspects (views) of the objects in a model based 3-D object recognition system. These views are generated at desired orientations on the unit Gaussian sphere. With a suitable network file sharing system (NFS), the images can directly be stored on a database located on a file server. This paper presents the image modelling solutions using CAD in relation to multiple-view approach. Our modular scheme for data conversion and automatic image database storage for such a system is discussed. We have used this approach in 3-D polyhedron recognition. An overview of the results, advantages and limitations of using CAD data and conclusions using such as scheme are also presented.

Paper Details

Date Published: 10 June 1993
PDF: 7 pages
Proc. SPIE 1904, Image Modeling, (10 June 1993); doi: 10.1117/12.146695
Show Author Affiliations
Harish K. Sardana, Univ. of Nottingham (United Kingdom)
Mohammad Farhang Daemi, Univ. of Nottingham (United Kingdom)
Mohammad K. Ibrahim, Univ. of Nottingham (United Kingdom)

Published in SPIE Proceedings Vol. 1904:
Image Modeling
Lawrence A. Ray; James R. Sullivan, Editor(s)

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