IEEE International Workshop on
                Analysis and Modeling of Faces and Gestures
  Beijing, China, October 16, 2005
  held in conjunction with ICCV-2005 (Previous workshop with ICCV03,
Nice)
 
                           Scope of the Workshop
 
During the last 30 years, face recognition and related problems such as
face detection/tracking, facial expression recognition have attracted
researchers from both the engineering and psychology communities.  In
addition, extensive research has been carried out to study hand and body
gestures. The understanding of how humans perceive these important cues
has
significant scientific value and extensive applications. For example,
human-computer interaction, visual surveillance, smart video indexing are
active application areas. Aiming towards putting such amazing perception
capability onto computer systems, researchers have made substantial
progress. However, technological challenges still exist in many aspects.
 
Following a format similar to AMFG 2003, this one-day workshop (AMFG'05)
will provide a focused international forum to bring together well-known
researchers and research groups to review the status of recognition,
analysis and modeling of face & gesture, to discuss the challenges that
we
are facing, and to explore future directions. The workshop will consist
of
two to three invited talks contributed by experts from the relevant
communities. Original high-quality papers are solicited on topics
including, but not limited to,
 
  1. Advanced methods, including mathematical tools, novel sensors and
     algorithms for face & gesture modeling, analysis and recognition.
  2. Novel applications in which detection, tracking and recognition of
     face and gesture can be reliably accomplished.
  3. Efficient computational methods to implement advanced algorithms for
     real-time systems.
  4. Psychology studies that can help us build better systems.
  5. Motion analysis, tracking and extraction of 3D face structure from
     image sequences using single or multiple cameras
  6. Detection and recognition of face objects under large 3D rotations,
     illumination changes, partial occlusions, aging, etc.
  7. Face/Gait detection and recognition in low-quality, low-resolution
     surveillance video.
  8. Demonstration of face recognition in outdoor environments.
  9. Dynamics and learning for gesture interpretation.
 10. Fusion of multi-modalities such as face and gesture.
 
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 Paper Submission   May 15, 2005 (dual submission allowed)
 Paper Acceptance   July 15, 2005 (dual pub. is NOT allowed)
 Camera ready    August 1, 2005
 
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 Workshop Co-Chairs: Wen-Yi Zhao, Shaogang Gong, Andrew Senior, Xiaoou
Tang
 
   <>  
Kevin Bowyer,  Notre Dame, USA
Rama Chellappa,  Maryland, USA
Jeff Cohn,  Pittsburgh, USA
Robert Collins,  Penn State, USA
Tim Cootes,  Manchester, UK
David Hogg,  Leeds, UK
Anil Jain,  Michigan State, USA
Ron Kimmel,  Technion, Israel
Josef Kittler,  Surrey, UK
Stan Li,  NLPR, China
Chengjun Liu,  NJIT, USA
Zhichen Liu,  Microsoft Research, USA
Gerard Medioni,  USC, USA
Baback Moghaddam, MERL, USA
Mark Nixon,  Southampton, UK
Jonathon Phillips, NIST, USA
Pawan Sinha,  MIT, USA
Matt Turk,  UCSB, USA
David Zhang,  HKPU, HK
.....
 

For more and updated information, please visit the workshop website:
http://mmlab.ie.cuhk.edu.hk/iccv05/