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

October 9, 2016

Netherlands .

Call For Papers

Within the past 15 years, there has been increasing interest in automated facial alignment within the computer vision and machine learning communities. Face alignment -- the problem of automatically locating detailed facial landmarks across different subjects, illuminations, and viewpoints -- is critical to all face analysis applications, such as identification, facial expression and action unit analysis, and in many human computer interaction and multimedia applications. 

The most common approach is 2D alignment, which treats the face as a 2D object. This assumption holds as long as the face is frontal and planar. As face orientation varies from frontal, however, this assumption breaks down: 2D annotated points lose correspondence. Pose variation results in self occlusion that confounds landmark annotation. 

To enable alignment that is robust to head rotation and depth variation, 3D imaging and alignment have 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 is a potential solution. 

This workshop addresses the increasing interest in 3D alignment from 2D images. This topic is germane to both computer vision and multimedia communities. For computer vision, it is an exciting approach to longstanding limitations of 2D approaches. For multimedia, 3D alignment enables more powerful applications. 

Topics

3DFAW is intended to bring together computer vision and multimedia researchers whose work is related to 2D or 3D face alignment. We are soliciting original contributions which address a wide range of theoretical and application issues of 3D face alignment for computer vision applications and multimedia including, including but not limited to:

• 3D and 2D face alignment from 2D dimensional images
• Model- and stereo-based 3D face reconstruction
• Dense and sparse face tracking from 2D and 3D dimensional inputs
• Applications of face alignment
• Face alignment for embedded and mobile devices
• Facial expression retargeting (avatar animation)
• Face alignment-based user interfaces

Important Dates

Paper submission: July 05, 2016

                       

Notification of acceptance: July 21, 2016

           

Final manuscripts due: July 24, 2016

           

User Name : RNarmatha
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