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AISB event Bulletin Item

CFP: CVPR Workshop on 3D Face Processing

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

Chairs: Volker Blanz, Baback Moghaddam, Hanspeter Pfister, Dimitris 
Samaras and William Smith

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


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 

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 
  * Medical applications of 3D face modelling and facial expression 

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.