Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


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AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB event Bulletin Item

CFP: CVPR Workshop on 3D Face Processing

http://www.cs.york.ac.uk/3dfp

Workshop on 3D Face Processing
To be held in conjunction with CVPR 2008
June 27th 2008, Anchorage, Alaska

Website: http://www.cs.york.ac.uk/3dfp
Contact: wsmith@cs.york.ac.uk
Chairs: Volker Blanz, Baback Moghaddam, Hanspeter Pfister, Dimitris 
Samaras and William Smith

IMPORTANT DATES:
Paper submission: March 15th (after CVPR decisions)
Notification: April 15th
Camera ready: May 1st

CALL FOR PAPERS:

Estimating 3D face shape from one or more images is a longstanding goal 
of computer vision. In the earliest work on shape-from-shading, 
researchers applied their algorithms to face images with little success. 
Advances during the last decade have seen the development of techniques 
that offer robust performance on real world images. Meanwhile, advances 
in structured light scanning have made high-end acquisition of 3D 
structure and motion a reality, albeit in very controlled settings, thus 
making statistical techniques attractive. A clear result to come from 
this work is that processing 3D face shape in images requires techniques 
that span a number of fields. These include statistical shape modelling, 
non-linear optimisation, reflectance modelling, illumination estimation 
and shape-from-shading.

These advances hold out the hope of estimating intrinsic properties of a 
face from single images or video streams. This is clearly attractive in 
the domain of face recognition where modelling appearance variation 
caused by large changes in pose, illumination and expression remains a 
key problem. Applications also lie in model acquisition for graphics 
applications, retouching faces in images (for example adjusting 
expressions or illumination conditions) or even exchanging faces between 
images.

There is also a strong link between this work and one of the key 
questions in psychological studies of human face processing, that of the 
role played (if any) by 3D shape information. This has led to an 
exchange of ideas between machine vision and psychology/neuropsychology 
in this area which is of mutual benefit.

Topics of interest include, but are not limited to, the following:

  * 3D morphable face models
  * 2D+3D active appearance models
  * Facial shape-from-shading and photometric stereo
  * Stereo for face images
  * Face/skin reflectance modelling
  * Psychological or neuropsychological investigations into the role 3D 
information plays in face processing in humans
  * Modelling variation in appearance due to 3D shape using spherical 
harmonics, light fields etc
  * Dynamic 3D face processing in video images, e.g. tracking, modelling 
of expressions in 3D, use of motion capture data
  * Real-time 3D face scanning from video
  * Colour information for 3D face processing
  * Structured light/Shape-from-X for face shape recovery
  * Estimation of illumination or shadowing from images
  * Data management for large 3D face data sets
  * Matching of partial or deformed scans
  * Fusion of multimodal face information, e.g. 3D scans, high-speed 
video, high-resolution imaging

Applications of interest include:

  * Facial shape estimation
  * Recognition/classification using 3D information estimates from images
  * Facial retouching, expression/texture transfer, relighting using 3D 
models
  * Medical applications of 3D face modelling and facial expression 
analysis

Submission Policy

Papers must describe high-quality, original research. By submitting a 
manuscript to this workshop, authors assert that no paper substantially 
similar in content has been submitted to another conference or workshop 
during the review period.