2D SEM images turn into 3D object models

02/17/2016
by   Wichai Shanklin, et al.
0

The scanning electron microscopy (SEM) is probably one the most fascinating examination approach that has been used since more than two decades to detailed inspection of micro scale objects. Most of the scanning electron microscopes could only produce 2D images that could not assist operational analysis of microscopic surface properties. Computer vision algorithms combined with very advanced geometry and mathematical approaches turn any SEM into a full 3D measurement device. This work focuses on a methodical literature review for automatic 3D surface reconstruction of scanning electron microscope images.

READ FULL TEXT

page 1

page 2

page 3

research
12/16/2018

A novel 3D display based on micro-volumetric scanning and real time reconstruction of holograms principle

The present study proposes a novel 3D display contains a micro-volumetri...
research
08/16/2023

Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review

A growing need exists for efficient and accurate methods for detecting d...
research
08/25/2020

A Robotic Line Scan System with Adaptive ROI for Inspection of Defects over Convex Free-form Specular Surfaces

In this paper, we present a new robotic system to perform defect inspect...
research
12/28/2017

Modelling Noise-Resilient Single-Switch Scanning Systems

Single-switch scanning systems allow nonspeaking individuals with motor ...
research
10/28/2021

Modeling 3D geometry using 1D laser distance measurements with application to cylinder for visualization and evaluating surface quality

Geometric metrology includes one or two-dimensional (1D or 2D) distance ...
research
04/03/2017

3D Object Reconstruction from Hand-Object Interactions

Recent advances have enabled 3d object reconstruction approaches using a...
research
10/10/2022

Asynchronous Collaborative Autoscanning with Mode Switching for Multi-Robot Scene Reconstruction

When conducting autonomous scanning for the online reconstruction of unk...

Please sign up or login with your details

Forgot password? Click here to reset