To enable alignment that is robust to head rotation and depth variation, 3D imaging and alignment has been explored. 3D alignment, however, requires special sensors for imaging or multiple images and controlled illumination. When these assumptions cannot be met, which is common, 3D alignment from 2D video or images has been proposed as a potential solution.
Papers that are not blind, or do not use the template, or have more than 14 pages (excluding references) will be rejected without review. We will consider papers rejected at ECCV 2016, accompanied with a cover letter describing the differences between the ECCV and 3DFAW submissions.
To be considered in the official ranking, either
Oct 09
2016
Conference Date
Draft paper submission deadline
Draft Paper Acceptance Notification
Final Paper Deadline
Registration deadline
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