Point set augmentation through fitting for enhanced ICP registration of point clouds in multisensor coordinate metrology

Verification of conformance to design specifications in production, and identification of defects related to wear or other damage during maintenance, are key metrological aspects that must be addressed for micro-scale tessellated surfaces. A new algorithmic approach is presented that operates on topography datasets as obtained by areal topography instruments. The approach combines segmentation algorithms with a novel implementation of the angular radial transform, originally adopted by the MPEG-7 standard, to implement shape descriptors and associated similarity metrics. Applications to the inspection and verification of laser-manufactured micro-embossing topographies are illustrated. The topographies are first segmented to extract the individual tiles; the tiles are then encoded through shape descriptors. Principal component analysis and cluster analysis are used to investigate the behaviour of the angular radial transform coefficients. Finally, an algorithmic classifier based on supervised learning (k-nearest neighbours) is implemented and shown to be effective at identifying defects and at discriminating between defect types.

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“…The most reliable approach is to align them all to the same nominal (template) geometry, as shown in Figure 11. [8], [29].…”

Section: Computational Speed Against Quality Of Shape Informationmentioning

confidence: 99%

Shape descriptors and statistical classification on areal topography data for tile inspection in tessellated surfaces

2017

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“…9,[43][44][45][46][47][48][49][50] Overall, the main objective of LSDM is to obtain measurement systems easy to install, possibly in the same place in which the object is constructed or utilized, characterized by a short acquisition time, accurate, able to perform contactless measurement also at a considerable distance from the measured object, in different working conditions and as cheaper as possible. Some commercial or prototypal systems have been realized with these objectives, at the current state of the art it is worth citing in particular photogrammetric systems and laser radars, which, apart from the economical aspect, are heading towards this direction with interesting results.…”

Section: -2742mentioning

confidence: 99%

“…43,[46][47][48]50,80 A rough scheme about the temporal evolution of the main families of LSDM systems and relating accuracy is reported in Fig. 1.…”

Section: 86-mentioning

confidence: 99%

Large-scale dimensional metrology (LSDM): from tapes and theodolites to multi-sensor systems

Franceschini

Galetto

Maisano

et al. 2014

Int. J. Precis. Eng. Manuf.

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Last decades witness an increasing interest in Large-Scale/Large-Volume Dimensional Metrology (LSDM). Many fields of application, ranging from construction to shipbuilding and aerospace, have shown more and more accurate and versatile systems for geometric control and tolerancing. Especially in the last ten years, optical technology has registered a fundamental step forward both in terms of metrological performances, versatility and convenience of use. This is further demonstrated by the current large diffusion of laser tracker and photogrammetric systems. The growth is also complemented by the development of new standards, even though a comprehensive body specific for LSDM is still lacking. The twofold aim of the present survey is to present a bibliographical and bibliometric analysis of the field and to propose a scheme of classification of the main current approaches. As an output of this paper, a "LSDM Multi-perspective Model" is introduced, according to which dominant technologies and restrictions are analyzed with the aim of individuating current lacks and defining the roadmap for future development of new instruments and systems.

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“…He used fitting interpolation to increase the volume of point-cloud and then used ICP to perform registration. However, the interpolation precision cannot be effectively controlled [15]. In China, Dr. Li retrieved roads through fusion of remote sensing image gray-scale value, point-cloud intensity, and degree of dispersion, but the specific ratios of distribution of the three factors were not provided.…”

Section: Introductionmentioning

confidence: 99%

Study on Fusion of Terrestrial 3D Laser Point-clouds and Camera Image Data

Lin¹,

Li²,

Wu³

et al. 2017

IJSIP

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Point set augmentation through fitting for enhanced ICP registration of point clouds in multisensor coordinate metrology

Cited by 59 publications

References 30 publications

Shape descriptors and statistical classification on areal topography data for tile inspection in tessellated surfaces

Shape descriptors and statistical classification on areal topography data for tile inspection in tessellated surfaces

Large-scale dimensional metrology (LSDM): from tapes and theodolites to multi-sensor systems

Study on Fusion of Terrestrial 3D Laser Point-clouds and Camera Image Data

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