Canadian Conference on Computational Geometry

CCCG 2017


Software Systems Theoretical Computer Science



Submission Details
Submissions should not exceed six pages, and must be prepared with LaTeX, using the CCCG 2017 LaTeX template. Submissions will be accepted only through EasyChair. Authors who feel that additional details are necessary should include a clearly marked appendix, which will be read at the discretion of the Program Committee. Simultaneous submission to another conference or journal is not allowed. Authors of accepted papers are expected to present their papers at the conference. Failure to do so will result in removal of the paper from the proceedings.
Scope
The Canadian Conference on Computational Geometry (CCCG) focuses on the design of efficient algorithms, the development of software, and the study of the mathematical foundations of computational problems whose formulations involve geometric constraints. The field of computational geometry is motivated by problems from a broad range of application areas, as diverse as computer graphics and animation, computer vision, computer-aided design and manufacturing, geographic information systems, pattern recognition, wireless communications, robotics, protein folding, urban planning, graph drawing, or statistical analysis, to name just a few. Authors are invited to submit papers describing original research of theoretical or practical significance in computational, combinatorial and discrete geometry, as well as related areas.
Audience
CCCG is an international forum, accessible to a broad community of researchers, to disseminate and discuss new theoretical and applied results in discrete and computational geometry. The intended audience for this conference includes graduate and undergraduate students, researchers in the area, and members of industry whose work involves geometric computation.
Proceedings
Proceedings will be published online. There will be no paper proceedings. A special issue of papers selected from CCCG 2017 is planned for the journal Computational Geometry: Theory and Applications.