Paper
14 September 2011 Evaluating a hybrid three-dimensional metrology system: merging data from optical and touch probe devices
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Abstract
In a project to meet requirements for CBP Laboratory analysis of footwear under the Harmonized Tariff Schedule of the United States (HTSUS), a hybrid metrology system comprising both optical and touch probe devices has been assembled. A unique requirement must be met: To identify the interface-typically obscured in samples of concern-of the "external surface area upper" (ESAU) and the sole without physically destroying the sample. The sample outer surface is determined by discrete point cloud coordinates obtained using laser scanner optical measurements. Measurements from the optically inaccessible insole region are obtained using a coordinate measuring machine (CMM). That surface similarly is defined by point cloud data. Mathematically, the individual CMM and scanner data sets are transformed into a single, common reference frame. Custom software then fits a polynomial surface to the insole data and extends it to intersect the mesh fitted to the outer surface point cloud. This line of intersection defines the required ESAU boundary, thus permitting further fractional area calculations to determine the percentage of materials present. With a draft method in place, and first-level method validation underway, we examine the transformation of the two dissimilar data sets into the single, common reference frame. We also will consider the six previously-identified potential error factors versus the method process. This paper reports our on-going work and discusses our findings to date.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Janice R. Gerde and William A. Christens-Barry "Evaluating a hybrid three-dimensional metrology system: merging data from optical and touch probe devices", Proc. SPIE 8133, Dimensional Optical Metrology and Inspection for Practical Applications, 81330I (14 September 2011); https://doi.org/10.1117/12.893969
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KEYWORDS
Statistical analysis

Calibration

Clouds

Interfaces

Image processing

Laser scanners

Computing systems

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