2007 IEEE
International Workshop on
Analysis and Modeling of Faces
and Gestures (AMFG)
October 20, 2007
Rio de Janeiro, Brazil
(in conjunction with ICCV 2007)
Author Instructions
Submission of Papers for Review
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 by Springer-Verlag as an LNCS. 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. 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 ICCV07, please submit it to the
corresponding category with "double submissions of ICCV07".
- We expect to have a best paper competition and several awards 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
modeling, analyzing, and recognizing face, gesture, activity & behavior
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,
gesture, activity & behavior
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/activity/behavior can be used reliably to achieve important goal.
5.3 Real-time applications
5.4 Others
6. Others
