Start as you mean to go on
30 September 2017
Greg Blackman asks what it takes to commercialise new imaging technology
Farmers are starting to reap the rewards of robotics and machine vision, as Keely Portway finds out
Technical University of Munich
Rethinking 3D vision
12 July 2017
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
Wi-Fi holograms investigated to track factory parts
22 May 2017
Scientists at the Technical University of Munich (TUM) have developed a way to project holograms depicting the environment based on a Wi-Fi signal
Tolga Birdal
2 August 2016
Working for Siemens and the Technical University of Munich, Tolga Birdal received the 2016 European Machine Vision Association's Young Professional Award in June
Finding 3D pose with a monocular camera
12 June 2014
As winner of the EMVA Young Professional Award 2014, presented at the recent EMVA business conference, Jakob Engel, a PhD student in the Computer Vision Group at the Technical University of Munich, updates on the potential 3D imaging applications for his novel approach to real-time visual odometry using a monocular camera
Latest issue
Outfield analyses aerial images of orchards using machine learning to predict crop yield
Open source software has advanced to a point where it’s now a credible option for industrial imaging, Matthew Dale finds
Active Silicon’s 4xCXP-12 FireBird Coaxpress frame grabber (PCIe Gen3 x8)
Chris Beynon, Active Silicon’s CTO and technical chair of the Coaxpress committee, updates on the Coaxpress standard
Neil Trevett and Chris Yates
The Khronos Group and the EMVA are to explore software standards for embedded vision. Khronos’ Neil Trevett and EMVA’s Chris Yates explain the work
Greg Blackman reports from the Embedded World show, where industry experts gave insights into vision processing at the edge
The first colour image, captured by a CMV20000 sensor, to be sent back by the hazard cameras on the Perseverance rover after its landing on Mars on 18 February. Credit: NASA/JPL-Caltech
Greg Blackman speaks to Guy Meynants, formerly of Cmosis, and Paul Jerram, of Teledyne e2v, about the history of the image sensors onboard the Mars rover
