Title: Towards computer-aided reverse engineering of heavy vehicle parts using laser range imaging techniques

Authors: D. Page, A. Koschan, Y. Sun, Y. Zhang, J. Paik, M. Abidi

Addresses: Imaging, Robotics, and Intelligent Systems Laboratory, 336 Ferris Hall, The University of Tennessee, Knoxville, TN 37996-2100, USA. ' Imaging, Robotics, and Intelligent Systems Laboratory, 336 Ferris Hall, The University of Tennessee, Knoxville, TN 37996-2100, USA. ' Imaging, Robotics, and Intelligent Systems Laboratory, 336 Ferris Hall, The University of Tennessee, Knoxville, TN 37996-2100, USA. ' Imaging, Robotics, and Intelligent Systems Laboratory, 336 Ferris Hall, The University of Tennessee, Knoxville, TN 37996-2100, USA. ' Image Processing and Intelligent Systems Laboratory, Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, Korea. ' Ferris Hall, The University of Tennessee, Knoxville, TN 37996-2100, USA

Abstract: We present an integrated system to automatically generate computer-aided design (CAD) models of existing vehicle parts using laser range imaging techniques. The proposed system integrates data acquisition, model reconstruction, and post processing to generate a set of models from real-world automotive parts. This range image-based, computer-aided reverse engineering (CARE) system has potential for faster model reconstruction over traditional reverse engineering technologies. As part of this system, we also propose a novel crease detection algorithm, which segments the surfaces of reconstructed models along smoothness discontinuities. We present results for both the CARE system and the proposed crease detection algorithm for a set of automotive parts.

Keywords: computer-aided design; CAD; computer-aided reverse engineering; CARE; heavy vehicles; image-based modelling; vehicle modelling; automotive parts; model reconstruction; crease detection; laser range imaging.

DOI: 10.1504/IJHVS.2004.005457

International Journal of Heavy Vehicle Systems, 2004 Vol.11 No.3/4, pp.434 - 452

Published online: 04 Oct 2004 *

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