Wrap-around B-spline Surface Fitting to Digitized Data With Applications to Reverse Engineering

Weir, D. J.; Milroy, M. J.; Bradley, Colin; Vickers, G. W.

doi:10.1115/1.538922

Cited by 17 publications

(7 citation statements)

References 20 publications

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“…Reconstructing the freeform surface from a set of discrete measurement data points is a problem important to many areas including reverse engineering, metrology, inspection by machine vision, computer-aided design (Song and Kim 1997, Thompson and Owen 1999, Wolovich et al 2002, Weir et al 2000. The first task in the reconstruction of a freeform surface is to obtain the measurement data.…”

Section: The Problemmentioning

confidence: 99%

Active Sensor Planning for Multiview Vision Tasks

Chen¹,

Li²,

Zhang³

et al. 2008

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Section: The Problemmentioning

confidence: 99%

Active Sensor Planning for Multiview Vision Tasks

Chen¹,

Li²,

Zhang³

et al. 2008

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“…Reconstructing the freeform surface from a set of discrete measurement data points is a problem important to many areas including reverse engineering, metrology, inspection by machine vision and computer aided design [1][2][3][4][5]. The first task in the reconstruction of a freeform surface is to obtain the measurement data.…”

Section: Introductionmentioning

confidence: 99%

Untitled

Dianov

2007

PHYS-USP

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In this paper we present a novel method for determining the probing points for achieving efficient measurement and reconstruction of freeform surfaces. A B-spline is adopted for modelling the freeform surface. In the framework of Bayesian statistics, we develop a model selection strategy to obtain an optimal model structure for the freeform surface. Based on the selected model structure, a set of probing points is then determined where measurements are to be made. In order to obtain reliable parameter estimation for the B-spline model, we analyse the uncertainty of the model and use the statistical analysis of the Fisher information matrix to optimize the locations of the probing points needed in the measurements. Using a 'data cloud' of a surface acquired by a 3D vision system, we implemented the proposed method for reconstructing freeform surfaces. The experimental results show that the method is effective and promises useful applications in multi-sensor measurements including a vision guided coordinate measuring machine for reverse engineering.

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“…Carbone et al [5] described a novel methodology for the reverse engineering of complex, free-form surfaces, based on the integration of the measurement information from a three-dimensional vision sensor and a coordinate measuring machine. Weir et al [6] presented a new approach to modeling the data sets generated, employing wrap-around B-spline surfaces. The measurement system uses a laser scanner mounted on the CMM.…”

Section: Introductionmentioning

confidence: 99%

A novel reverse measurement and manufacturing of conjugate cams in a diesel engine

Chiu¹,

Lin²

2004

Int J Adv Manuf Technol

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This study presents a novel reverse measurement, CAD/CAM, and practical machining of conjugate cams on a computer-numerical-controlled (CNC) machine. This paper consists of five main components: a novel reverse measurement, displacement curve equations, CAD/CAM, practical machining and tests of the conjugate cams in a diesel engine. The diesel engine can output the 13-horse power and the rotational speed of 3500 rpm at the maximum. The results reveal that the torque and power are in good agreement between the reverse and the original conjugate cams in a diesel engine.

show abstract

Wrap-around B-spline Surface Fitting to Digitized Data With Applications to Reverse Engineering

Cited by 17 publications

References 20 publications

Active Sensor Planning for Multiview Vision Tasks

Active Sensor Planning for Multiview Vision Tasks

Untitled

A novel reverse measurement and manufacturing of conjugate cams in a diesel engine

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