Dense estimation in 3D computer vision for human interactive systems

Seven profoundly blind Australians have had a sense of vision restored by a retinal implant developed by Bionic Vision Australia. Within this consortium, I led a team that developed computer vision processing; processing images from head-mounted cameras to output parameters of electrical stimulation for an implanted electrode array, leading to improvement in participant performance in visual tasks. This was based on computer vision algorithms for dense estimation of scene structure at pixel level to support visual navigation. In this seminar I will present approaches to dense estimation for salient object detection, where important objects are segmented from the background. This is ongoing work where we are addressing issues in dense estimation in computer vision, including stability and the high cost of data annotation.


Nick Barnes is a Senior Principal Researcher at Data61@CSIRO, formerly NICTA, where he leads 3D Computer Vision, and an Associate Professor in RSEEME at the Australian National University. He received his Ph.D. in 1999 from the University of Melbourne. He was visiting research fellow at the University of Genoa, Italy, supported by an Achiever Award from the Queens' Trust in 1999.  From 2000 to 2003, he was a lecturer with the Dept Computer Science and Software Engineering, the University of Melbourne. He then joined NICTA and became program leader of Computer Vision in 2006, where he built up and led a research group of around 25 research staff. His research interests lie in computer vision particularly: dense estimation, 3D vision, visual saliency and visual navigation including prosthetic vision. He has published more than 140 research papers on these topics. He was one of the team of CIs of the successful bid for the ARC Special Research Initiative in Bionic Vision: 2010 to 2015. His pioneering work in vision processing for prosthetic vision was a key contribution to the formation of a spin-out company, Bionic Vision Technologies, and capital raise in 2017. This work was recognised in 2017 iAwards and the CSIRO Digital and National Facilitates Science Excellence Award, as well as various best paper awards and nominations.


Date & time

10–11am 8 Apr 2019


Internal speakers

Professor Nick Barnes



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