3D Vision

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Parameters​ ​of​ ​3D​ ​sensing​ ​techniques​ ​in​ ​a​ ​nutshell

Machine vision is one of the driving forces of industrial automation. For a long time, it’s been primarily pushed forward by improvements made in 2D image sensing and, for some applications, 2D sensing is still an optimal tool to solve a problem. But the majority of challenges machine vision is facing today has a 3D character. From well-established metrology up to new applications in smart robotics, 3D sensors serve as a main source of data. Here, we discuss the parameters of 3D sensing techniques.

FEATURE

Q&A: Boaz Arad

Boaz Arad, a researcher at the Interdisciplinary Computational Vision Lab, Ben-Gurion University of the Negev, and winner of the EMVA Young Professional Award 2017

ANALYSIS & OPINION

Rethinking 3D vision

Tolga Birdal at the Technical University of Munich is co-organising a 3D vision workshop at the ICCV computer vision conference in October. Here, he argues that 3D vision's strength - geometry - is also what's holding it back

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Feature

Greg Blackman speaks to Torsten Wiesinger at Lucid Vision Labs, one of the newest industrial camera manufacturers on the block

Feature

A combination of vision, sensor and deep learning technologies are creating extraordinary developments in retail, writes Matthew Dale

Feature

Machine vision technology is improving quality control in automotive manufacturing, writes Andrew Williams

Feature

Keely Portway investigates the latest advances in 3D vision equipment, and how they could open up new industrial imaging applications