See the University of Edinburgh online research video collection. Here's mine:
Prof. Robert Fisher has been an academic in the School of Informatics
(originally in the former Department of Artificial Intelligence)
at University of Edinburgh since 1984 and a full Professor since 2003.
He received his PhD from University of Edinburgh (1987),
investigating computer vision in the former Department of Artificial Intelligence.
His previous degrees are a BS with honors (Mathematics) from California
Institute of Technology (1974) and a MS (Computer Science) from Stanford
University (1978). He worked as a software engineer for 5 years before
returning to study for his PhD.
Google Scholar List.
University PURE research activity entry.
He has been researching 3D scene understanding since 1982, and has
worked on model based object recognition, range image analysis
and parallel vision algorithms.
The main topics of his recent research are:
- variations on the interpretation tree model matching algorithm,
- automatic model acquisition applied to engineering objects and buildings,
- surface model-based object recognition,
- range image analysis,
- iconic image analysis, and
- humpback whalesong analysis.
This research is conducted in the
Machine Vision Unit.
He is or has been the principal investigator of these projects:
His current PhD students and research staff are:
for information about applying to study for a PhD or MSc in Informatics at Edinburgh.
The School is recruiting PhD students (mainly UK) into their
EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems,
EPSRC Centre for Doctoral Training in Data Science, and
EPSRC Centre for Doctoral Training in Pervasive Parallelism.
JOBS and PhD PLACES OPEN
- If you have a fellowship paying
your own salary plus visitor fees, then we may have room for visiting scientists.
Main administrative responsibilities
Main teaching responsibilities
for the MSc and Undergraduate Joint Honour degree
Popular Image Analysis Datasets/Databases
Other things that might interest you
- The support web site for the second edition of the
Dictionary of Computer Vision and Image Processing.
Here is the support web site for the
Users at the authors' home universities have John Wiley's permission to access a
local site with full definitions of the first edition.
CVonline, The Evolving, Distributed, Non-Proprietary, On-Line
Compendium of Computer Vision.
- The current version of HIPR2: Hypertext Image Processing Reference.
- A study on the
Representations of Artificial Intelligence in Cinema
- An online Dictionary of Computer Graphics
- He was the Chair (2007-2010) of the Education Committee of the
International Association for Pattern Recognition,
which has produced online education resources.
He has been elected an
- My professorial inaugural lecture.
- A short video (10 min) by Meirul Din, on
"How seriously should we take the hype about AI?",
which includes an interview of me. (185Mb)
- All Thanks to Turing - a robot gives thanks to Alan Turing (video)
as part of
Take Tea With Turing, a celebration by Victoria Adams.
- My favourite MP3 mashup - Bob Rocks! (by James Fairlie).
- The University now has a set of 500+ one minute
and mine (about the Chiroping project) is here.
- Some suggestions on introducing talks.
You might also be interested in:
PowerPoint Is Evil
- Do you worry that you might be an Academic Imposter? You are not alone!
We're surrounded by hugely talented people and we only know a little bit
more about one specialized topic. Except that everyone feels this way.
See: Imposter Syndrome in Academia, Impostor syndrome.
- Our skin cancer
research has led to the DERMOFIT
skin cancer training and diagnostic assistant iPad app in partnership with
- Spanish translation of biography (Science for Everyone)
Other people you might want to contact over specific issues
School of Informatics
University of Edinburgh
1.26 Informatics Forum
10 Crichton St
Edinburgh EH8 9AB
Here is a map to my office in the
Informatics Forum. Enter via the main entrance on Crichton Street.
Cross the atrium floor to go up the stairs/elevator 1 floor.
My office is 1.26, which is almost on the opposite side of the atrium.
Here is a Google map link with a streetside view.