Special Section: Data-Driven Animation Techniques (D2AT)

in Special Issue   Posted on November 2, 2017 

Information for the Special Issue

Submission Deadline: Thu 01 Mar 2018
Journal Impact Factor : 1.176
Journal Name : Computers and Graphics
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/computers-and-graphics/call-for-papers/special-section-data-driven-animation-techniques-d2at
Journal & Submission Website: https://www.journals.elsevier.com/computers-and-graphics

Special Issue Call for Papers:

Aims and Scopes:

The aim of this Special Section in conjunction with SIGGRAPH Asia 2017 workshop-“Data-Driven Animation Techniques” is to bring together researchers from diverse backgrounds, such as computer graphics, computer vision, virtual reality, human computer interactions and machine learning, with a common interest in data-driven, realistic animation. Interests in this emerging topic may stem from a variety of sources, e.g. point cloud data collected from laser scanners or RGBD cameras such as KINECT, high resolution geometry reconstructed by Structure from Motion (SfM), motion capture devices including high frame-rate optical trackers and IMUs, GPS data from millions of mobile devices etc. Despite the high dimensionality and the huge volume of the dataset, the boost in machine learning and big data technologies are allowing researchers to extract important features from them for which can be applied for data analysis, synthesis and editing.

The Special Section is an alternative track for paper submission. We call for high quality works that fall into the topics of data-driven techniques for computer graphics and animation. Novel ideas and results are highly welcome even if they are in a preliminary stage. We are also interested in papers that discuss existing techniques applied in a novel context.

Some specific problems of interest include, but are not limited to,

1) data-driven character animation,

2) data-driven cloth animation,

3) data-driven hair animation,

4) data-driven fluid animation,

5) data-driven facial animation,

6) data-driven motion editing,

7) data-driven motion retargeting and synthesis,

8) data-driven physics-based animation,

9) data-driven techniques for virtual reality/augmented reality applications,

10) machine learning techniques for computer animation,

11) machine learning techniques for non-photo realistic rendering,

12) machine learning techniques for character control,

13) machine learning techniques for human computer interaction,

14) video-based human motion analysis and tracking,

15) image/video-based facial recognition,

16) image/video-based human localization,

17) image/video-based 3D reconstruction, and

18) statistical, structural or syntactic pattern recognition methods for methods for motion analysis and synthesis.

Submission Instructions

The submission website for this journal is located at: http://ees.elsevier.com/cag/default.asp.

To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important that authors select “Special Section: D2AT” when they reach the “Article Type Name” step in the submission process.

Important Dates (all in 2018)

Feb 1: First submission date
March 1: Deadline of submission
March 31: Notification of first decision
May 31: Revised paper submission
July 1: Final decision
August 1: Camera-ready

Guest Editor

Dr Hongchuan Yu, National Centre for Computer Animation, Bournemouth University, UK

Dr Taku Komura, School of Informatics, University of Edinburgh, UK

Prof. Jian Jun Zhang, National Centre for Computer Animation, Bournemouth University, UK

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