The 24th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2016) will be hosted by Okinawa Institute of Science and Technology (OIST) and held in Okinawa, Japan, during October 11-14, 2016. Pacific Graphics is an annual international conference on computer graphics and applications. As a highly successful conference series, Pacific Graphics provides a premium forum for researchers, developers, practitioners in the Pacific Rim and around the world to present and discuss new problems, solutions, and technologies in computer graphics and related areas.

Original unpublished papers are invited in all areas of computer graphics and its applications. The topics include (but are not limited to) modeling, rendering, animation, and imaging, as well as visualization, human-computer interaction, and graphics systems and applications. Any interesting new ideas related to computer graphics and applications are welcome.

The conference will have a full paper track as well as a short paper track. The full papers will be published in the conference proceedings which will appear as a special issue of the Computer Graphics Forum (CGF). Short papers will not appear in the CGF, but will be published electronically through the EG Digital Library. Extended versions of selected, high-quality, short papers will be invited to a SpringerOpen journal, Computational Visual Media.

Papers submitted to Pacific Graphics 2016 must be original, unpublished work. Any work that has previously been published or simultaneously been submitted in a substantially similar form to any other conference or journal will be rejected. Contributions must be written and presented in English. Authors may submit to either the full paper or short paper track. Authors can also specify if they would be willing to have their full paper submission considered for short paper in the event the paper is not accepted. Full papers submission are limited to a maximum of 10 pages. Short papers are limited to a maximum of 4 pages. The review process will be double blind. Please remove all personal data (e.g. names, affiliation, etc.) from your submission.