A complete paper, not longer than 15 pages including figures and references, should be submitted in PDF electronically via the web site:paper submission site. When submitting the papers, you need to choose the main paper categories. For sub-categories and additional key words, you can enter them in the abstract & comments section.  Please refer to the paper category listed below for numerically labeling your papers.  The names and institutions of the authors are not to be identified.

Paper Format

• LaTeX users are encouraged to use the llncs.cls class. Make sure to blank the author names and affiliations for the submission.

• MS Word and other word processor formats will not be accepted. Please export to PDF.

Submission of Final Papers

Papers which are accepted for the conference will be included in the Proceedings which will be published in the Springer Verlag Lecture Notes in Computer Science. A complete paper is limited to be not longer than 15 pages including figures and references.  The layout of the papers must adhere strictly to the guidelines set out in the Instructions for the Preparation of Camera-Ready Contributions to LNCS Proceedings (www.springer.de/comp/lncs/authors.html). Authors are asked to follow these instructions exactly.

Notes

• Please note that AMFG allows dual submissions to the main ICCV conference. However, it is mandatory that the authors indicate this when submitting papers and inform the committee immediately if their main conference submission is accepted. 
• If your paper has been submitted to ICCV05, please submit it to the corresponding category with "double submissions of ICCV05".
• We expect to have a best paper competition and award along with cash.
• If you want to submit videos, please compress the videos with the ps/pdf file and submit in a single zip file.

1. Advanced methods for face, gesture modeling, analysis and recognition
   1.1  Novel algorithms
   1.2  Novel sensors
   1.3  Applications of new mathematical tools
   1.4  Computational methods for real-time systems
   1.5  Multi-modality fusion
   1.6  Others

2. Robust detection and recognition of face objects
   2.1  Outdoor environment
   2.2  Large out-of-the-plane rotations
   2.3  Significant illumination changes
   2.4  Partial occlusions
   2.5  Aging
   2.6  Others

 3. 3D structures from image sequences using single or multiple cameras
   3.1  Face
   3.2  Hand
   3.3  Body
   3.4  Others

4. Psychology studies that can help us build better systems
   4.1  Study having basic importance
   4.2  Study having direct impact on recognition system
   4.3  User interface and usability
   4.4  Others

5. Applications
   5.1  Detection and recognition of face/gait in low-quality, low-resolution surveillance video.
   5.2  Novel applications where face/gesture can be used reliably to achieve important goal.
   5.3 Real-time applications
   5.4  Others

6. Others