Gibbons Lectures: Will robotic vision ever fully replace human vision? Event as iCalendar

(Science Event Tags, Conferences, Lectures, Seminars, Computer Science)

17 May 2018

6:30pm

Venue: 260.092 (Owen G Glenn Building 3), Level 0

Location: Please join us for refreshments from 6pm at 260.088 Level 0 Foyer, Owen G Glenn Building

Host: Department of Computer Science

Cost: Free - all welcome

Website: www.cs.auckland.ac.nz/gibbons-lectures

Associate Professor Patrice Delmas, Department of Computer Science, Faculty of Science, The University of Auckland
Associate Professor Patrice Delmas

Speaker: Associate Professor Patrice Delmas, Department of Computer Science, Faculty of Science, University of Auckland

Robotic, or computer, vision, is the field which studies the extraction of useful information from images. It is considered one of the most promising investment sectors in the near future, having enjoyed a three-fold increase in venture capital funding in 2017. Yet the latest issues arising with automated driving show that the field is not yet mature for everyday use when human lives are at risk.

In this talk, Patrice will introduce the topic of computer vision, its current status and the many challenges that have been faced. He will then discuss some parallels between human vision and computer vision, and the major differences in capability. 

Finally, he will lean on his experience to describe a wide range of real-world problems, attempted solutions and ensuing failures or successes, in the context of the New Zealand economy and environment.

Patrice Delmas is from France originally – he completed his MEng, MSc and PhD degrees, in 1994, 1995 and 2000, at the National Polytechnic Institute, Grenoble, France.

He has been with the Department of Computer Science at the University of Auckland since 2001 and is currently an Associate Professor. He has had 20 years of experience in theoretical and applied computer vision research. 

Patrice’s main interests are in the general area of image processing with particular emphasis on issues relating to recognition of human faces such as 'visual lip mapping' and '3D face analysis and synthesis'. Other interests include 'medical imaging' and 'applied computer vision (camera calibration, rectification, stereo-matching, 2D-3D face-hand matching)'.

 

Drinks and nibbles will be served from 6pm at 260.088 Level 0 Foyer, Owen G Glenn Building. Lecture commences at 6.30pm. Live streaming will also be available.

Find out more information about the Gibbons Lecture Series.