3D Vision

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

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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.

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

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

Sights on 3D

Cognex has strengthened its position in 3D vision with a number of recent company acquisitions in the area, as Greg Blackman discovers

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Neural networks will be the common language of the future for computer vision, according to Professor Jitendra Malik from UC Berkeley. Greg Blackman listened to his keynote at the Embedded Vision Summit in Santa Clara

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