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Nicolas Cornille

Researcher at Mines ParisTech

Publications -  11
Citations -  471

Nicolas Cornille is an academic researcher from Mines ParisTech. The author has contributed to research in topics: Distortion & Bipartite graph. The author has an hindex of 5, co-authored 11 publications receiving 424 citations.

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Scanning Electron Microscopy for Quantitative Small and Large Deformation Measurements Part II: Experimental Validation for Magnifications from 200 to 10,000

TL;DR: In this paper, a combination of drift distortion removal and spatial distortion removal is performed to correct Scanning Electron Microscope (SEM) images at both ×200 and ×10,000 magnification.
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Metrology in a scanning electron microscope: theoretical developments and experimental validation

TL;DR: In this paper, a method for correcting both spatial and drift distortions that are present in scanning electron microscope (SEM) images is described, which employs a series of in-plane rigid body motions and a generated warping function.
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Quantitative Stereovision in a Scanning Electron Microscope

TL;DR: In this article, an integrated methodology for accurate 3D metric reconstruction and deformation measurements using single column scanning electron microscope imaging systems is described, where the specimen stage is rotated in order to obtain stereo views of the specimen as it undergoes mechanical or thermal loading.

Automated 3-D reconstruction using a scanning electron microscope

TL;DR: Methods for both the accurate calibration and the use of an Environmental Scanning Electron Microscope (ESEM) for accurate 3D reconstruction are described and the presence of high-frequencies components in the distortion field demonstrates that classic parametric distortion models are not sufficient to model distortions in a typical ESEM system.
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Inspection of aeronautical mechanical parts with a pan-tilt-zoom camera: an approach guided by the computer-aided design model

TL;DR: The method achieves promising performance in tests with synthetic data including missing elements, displaced elements, size changes, and combinations of these cases and opens good prospects for using the method with realistic data.