A vision-aided reverse engineering approach to reconstructing free-form surfaces

Chen, Liang-Chia; Lin, Guangming

doi:10.1016/s0736-5845(97)00013-6

Cited by 26 publications

(9 citation statements)

References 14 publications

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“…Thus, research on combining the multiple datasets of different resolutions is rather limited. There have been reports of CMMs carrying multiple types of sensors (Chen and Lin, 1997;Motavalli et al, 1998;Shen et al, 2000;Carbone et al, 2001), which typically include a mechanical touch probe and a vision system. A vision system has a much lower degree of resolution (between 100 and 200 µm, according to Shen et al (2000)), which is close to, or sometimes larger than, the magnitude of manufacturing errors.…”

Section: Related Workmentioning

confidence: 99%

Bayesian hierarchical model for combining misaligned two-resolution metrology data

2011

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This article presents a Bayesian hierarchical model to combine misaligned two-resolution metrology data for inspecting the geometric quality of manufactured parts. High-resolution data points are scarce and scatter over the surface being measured, while low-resolution data are pervasive but less accurate and less precise. Combining the two datasets should produce better predictions than using a single dataset. One challenge in combining them is the misalignment existing between data from different resolutions. This article attempts to address this issue and make improved predictions. The proposed method improves on the methods of using a single dataset or a combined prediction that does not address the misalignment problem. Improvements of 24% to 74% are demonstrated both for simulated data of circles and datasets obtained for a milled sinewave surface measured by two coordinate measuring machines of different resolutions.

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Section: Related Workmentioning

confidence: 99%

Bayesian hierarchical model for combining misaligned two-resolution metrology data

2011

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“…6.1. Chen and Lin (1997) presented a vision-aided reverse engineering approach (VAREA) to reconstruct free-form surface models from physical models, with a CMM equipped with a touch-triggered probe and a vision system. For example, Nashman et al (1996) integrated vision in a touch-probe system, where a video camera with a laser triangulation probe and a 3D touch probe were used in a CMM.…”

Section: The Problemmentioning

confidence: 99%

Active Sensor Planning for Multiview Vision Tasks

Chen¹,

Li²,

Zhang³

et al. 2008

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“…As there is a growing demand for a low-cost high-precision measurement in the practical application, Chen et al [7] provided a vision-aided RE approach. The initial vision-driven process generated a triangular patch model based on the lowprecision data.…”

Section: Introductionmentioning

confidence: 99%

Efficient measurement of aero-engine blade considering uncertainties in adaptive machining

Zhang

Chen

Tao

2015

Int J Adv Manuf Technol

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Blade geometry plays an extremely important role in the aerodynamic performance of aero-engine. However, in the adaptive machining process of a near-net-shape blade, it is important for an application engineer to reconstruct an actual profile with high-precision measurement data in a short time. This paper presents an efficient measurement to meet the requirement for digital information in the adaptive machining, which is also intimately associated with the previous work in reconstruction (Zhang et al. in Int J Adv Manuf Technol 2015:1-16, 2015. Comparing with conventional measurement, the proposed method can not only improve the utilization of measurement data from multi-sensor system but also consider the uncertainties of measurement and localization in data merging. Concretely speaking, the low-precision data from non-contact measurement device is used for establishing possible substitute models. The modified Bayesian information (Modi_BIC) criterion based on Bayesian statistics is introduced as the principle to select the model structure. In order to reduce misalignment errors of the selected substitute model, the statistical analysis of Fisher information matrix is applied to determine registration points. Based on this, the uncertainties can be given in the form of variation boundaries. Comparisons with the specified tolerance band determine a set of re-measured points by using a contact measurement device. The high-precision data can be merged with the selected substitute model by means of free form deformation (FFD) technique. The final measurement data is provided in the form of skinning surface that is consistent to the reverse modeling methodology of aero-engine blade. Moreover, some practical examples are given to demonstrate the effectiveness and superiority of the proposed method.

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A vision-aided reverse engineering approach to reconstructing free-form surfaces

Cited by 26 publications

References 14 publications

Bayesian hierarchical model for combining misaligned two-resolution metrology data

Bayesian hierarchical model for combining misaligned two-resolution metrology data

Active Sensor Planning for Multiview Vision Tasks

Efficient measurement of aero-engine blade considering uncertainties in adaptive machining

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