1st Workshop and Challenge on 3D Face Alignment in the Wild @ ECCV 2016 3DFAW 2016

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活动简介

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.

征稿信息

重要日期

2016-07-05

初稿截稿日期

2016-07-21

初稿录用日期

2016-07-24

终稿截稿日期

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.

作者指南

To be considered in the official ranking, either

Provide a description of your approach in a form of an extended abstract (2 pages). These will be available on the 3DFAW website.
To be considered for publication in the proceedings, submit a workshop paper. All participants are invited to submit a maximum 14-pages paper (excluding references) in the standard ECCV format. Accepted papers will be included in the proceedings of the ECCV 2016 - 3D Face Alignment in the Wild (3DFAW) Challenge workshop.