Automated Extraction of Features from CAD Models for 3D Object Recognition

In this paper we report on our work on a CAD model-based object recognition system for industrial parts. We present a novel approach which uses information derived from the CAD model in the early process of range image segmentation. This approach gives an exact classification of the range image enabling the development of a CAD based object recognition system. We describe the feature extraction from CAD data and its use in the curvature based range image classification. We carried out experiments with data from multiple sources. The results obtained are presented and discussed.