A Reconfigurable 3D Engineering Shape Search System: Part I — Shape Representation

Author:

Iyer Natraj1,Kalyanaraman Yagnanarayanan1,Lou Kuiyang1,Jayanti Subramaniam1,Ramani Karthik1

Affiliation:

1. Purdue University, West Lafayette, IN

Abstract

This paper presents an approach for a reconfigurable shape search system for 3D engineering models using a client-serverdatabase architecture. The current paper focuses on the server functionality, while a subsequent paper will focus on the database issues. The server takes the shape query as input from the client and converts it into feature vectors and a new skeletal graph representation which we have developed. The algorithms such as voxelization, skeletonization, and skeletal graph extraction for accomplishing these are described in detail. The principal advantages of the skeletal graph representation are that (i) it preserves the geometry and topology of the query model, (ii) it is considerably smaller than the B-Rep graph, and (iii) it is insensitive to minor perturbations in shape, while sensitive enough to capture the major features of a shape. Our representation is also synergistic with the human cognitive representation of shape. The results indicate that the skeletal graph is considerably smaller than the B-Rep graph even for complicated shapes.

Publisher

ASMEDC

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