Computer Graphics International 2018


About Us


Computer Graphics International (CGI) is one of the oldest annual international conferences on computer graphics in the world. It is organized by the Computer Graphics Society (CGS). Researchers across the whole world are invited to share their experiences and novel achievements in various fields – like computer graphics and human-computer interaction. Former conferences have been held recently in Yokohama, Japan, Heraklion, Greece, Strasbourg, France and Sydney, Australia.



Call For Papers

The scientific program of the conference will include full papers and short papers. The accepted full papers will be published in the Visual Computer Journal (impact factor 1.468) by Springer-Verlag. The accepted short papers will be included in the conference proceedings to be published online in the ACM Digital Library (to be confirmed).

We invite original contributions that advance the state-of-the-art in topics related to:

  • Rendering Techniques
  • Geometric Computing
  • Virtual and Augmented Reality
  • Shape and Surface Modeling
  • Physically Based Modeling
  • Computer Vision for Computer Graphics
  • Scientific Visualization
  • Data Compression for Graphics
  • Medical Imaging
  • Computation Geometry
  • Image Based Rendering
  • Computational Photography
  • Computer Animation
  • Visual Analytics
  • Shape Analysis and Image Retrieval
  • Volume Rendering
  • Solid Modelling
  • Geometric Modelling
  • Computational Fabrication
  • Image Processing
  • 3D Reconstruction
  • Global Illumination
  • Graphical Human-Computer Interaction
  • Human Modelling
  • Image Analysis
  • Saliency Methods
  • Shape Matching
  • Sketch-based Modelling
  • Robotics and Vision
  • Stylized Rendering
  • Textures
  • Pattern Recognition
  • Machine Learning for Graphics


Call for papers

Since ACM SIGGRAPH2001 and 2003 conferences, there has been limited attention on the benefits of employing W. K. Clifford's geometric algebras (GA) in solving computer graphics and vision problems. In the meantime, the geometric algebra community focused on GA applications and greatly advanced it as an adequate and viable computing technology. The CGI’16 “Geometric Algebra in Computer Science and Engineering Workshop” and CGI’2017 “Empowering Novel Geometric Algebra for Graphics & Engineering” began to bridge that gap.

Under the auspices of CGI’18, ENGAGE (Empowering Novel Geometric Algebra for Graphics & Engineering) on Monday, 11th June 2018 on Bintan Island, Indonesia, will again engage in a novel multi-disciplinary approach from mathematics, to computer graphics, computer vision and general computer science fields where GA has strong potential to provide novel answers to existing mathematical problems.

GA is in a particularly well suited position to allow cross-disciplinary solutions in software engineering as it provides an intuitive and insightful common denominator across mathematical disciplines that have often advanced and specialized for specific application purposes; the use and knowledge of GA encourages us to overcome distinct, seemingly incompatible paths by providing a shareable mathematical base again. For example, we expect geometric algebra based contributions to GIS research, data modelling & data structures, adaptive & parallel computing, remote sensing data analysis, UAV target location and other domains.

Workshop's call for papers as PDF

Accepted full length ENGAGE papers will be published in the Topical Collection “Geometric Algebra for Computing, Graphics and Engineering” of the journal Advances in Applied Clifford Algebras (AACA), published by Springer, and have to be orally presented at the conference. See also the “Instruction for Authors” at AACA. Online paper submission at is already open. At the time of submission, authors must indicate the Topical Collection “Geometric Algebra for Computing, Graphics and Engineering”.

All authors of accepted short ENGAGE papers will be invited either to an oral presentation or to a poster presentation. The accepted CGI’18 ENGAGE short papers will be published by the ACM Digital Library within its International Conference Proceedings Series. For author instructions please refer to CGI's "For Authors" section.

After the workshop, extended versions of the highest ranked short papers of the workshop proceedings will be invited for publication in Topical Collection “Geometric Algebra for Computing, Graphics and Engineering” of the journal Advances in Applied Clifford Algebras (AACA), published by Springer.

We invite original contributors in the form of full and short papers, that advance the state-of-the-art of the application of geometric algebra as well as of its computing technology in topics related, but not limited to:

  • GA for object description, deformations, registration, manipulation, interaction, camera system, visibility
  • Feature Detection & Data Analysis
  • LIDAR and Point Cloud Algorithms
  • Data Models & Software Interoperability
  • Scientific & Information Visualization
  • Computer graphics rendering
  • Computer animation
  • Holographic optics & Holographic maps
  • Augmented and Virtual Reality
  • Application of Clifford analysis to lighting schemes
  • Application of Clifford Fourier transforms and Clifford wavelets to 2D and 3D images, including color images
  • Higher dimensional geometric algebras
  • GA Computing
  • GA integrations in programming languages
  • GA hardware implementations
  • Geographic Information Systems
  • Building Information Modeling & Management
  • Soundscape & Electromagnetic landscape Modelling
  • Other engineering/applied science applications using GA, like robotics applications, graph computing etc.


Full papers: (10-15 pages, Latex using birkjour.cls)

  • Abstract submission (ca. 200 words): Feb. 6th 2018 to
  • Paper submission: Feb. 6th 2018
  • Paper notification: Mar. 10th 2018
  • Camera ready papers due: Mar. 31st 2018

See “Instruction for Authors” at AACA. At the time of submission, authors must indicate the Topical Collection “Geometric Algebra for Computing, Graphics and Engineering”.

Short papers: (same as the CGI’18 short papers, 4-6 pages length, ACM DL format)

  • Short Paper submission: Mar. 20th 2018
  • Short Paper notification: Apr. 20th 2018
  • Camera ready papers due: May 04th 2018
For further information, please turn directly to the ENGAGE Workshop organizers:
Andreas Aristidou, Werner Benger. Olav Egeland
Dietmar Hildenbrand (
Eckhard Hitzer (
Kit Ian Kou (
George Papagiannakis, G. Stacey Staples
Kanta Tachibana



“Can Machines Learn to Generate 3D Shapes?”

by Professor Richard Zhang

Simon Fraser University
Director of graphics (GrUVi) lab

Day 2, June 28 — 9:15~10:15 (TBC)


At heart, computer graphics is about synthesis and creation by computing machinery. Early success has been obtained on training deep neural networks for speech and image syntheses, while similar attempts on learning generative models for 3D shapes are met with difficult challenges. In this talk, I will first go over how the sub-field of 3D shape modeling and synthesis in computer graphics has evolved, from early model-driven approaches to recent data-driven paradigms, and highlight the challenges we must tackle. I would argue that the ultimate goal of 3D shape generation is not for the shapes to look right; they need to serve their intended (e.g., functional) purpose with the right part connection, arrangements, and geometry. Hence, I advocate the use of structural representations of 3D shapes and show our latest work on training machines to learn one such representation and an ensuing generative model. Finally, I would like to venture into creative modeling, perhaps a new territory in machine intelligence: can machines learn to generate 3D shapes creatively?


Hao (Richard) Zhang is a professor at Simon Fraser University (SFU), Canada, where he directs the graphics lab. He has also been a visiting professor at Stanford, Shandong University, and Shenzhen University. Richard obtained his Ph.D. from the University of Toronto, and MMath and BMath degrees from Waterloo. He works in computer graphics with special interests in geometry modeling, shape analysis, machine learning, and computational design and fabrication, and has published more than 100 papers on these topics. Richard is an editor-in-chief of Computer Graphics Forum and has been a program chair for SGP’13, SIGGRAPH Asia Course’14, GI’15, and will be conference chair for Geometry Summit’19. He is an IEEE Senior Member and his awards include an NSERC DAS Award (2014), best paper awards from SGP 2008 and CAD/Graphics 2017, an SFU Research Excellence Award (2014), and a National Science Foundation of China Overseas Outstanding Young Researcher Award (2015).


“Simulating fluids with the “path bundle” method.”

by Dr. Bruno Levy

Senior Researcher with Inria

Day 2, June 28 — 9:15~10:15 (TBC)


In this presentation, I’ll introduce the “path bundle” method, a method for simulating fluid dynamics. Recent advances in computational mathematics (Gallouet-Merigot scheme, Brenier projection) had spectacular applications in computer graphics (DeGoes, power particles). The “path bundle” method elaborates on these approaches, and aims at simulating fluid behaviors such as turbulence in incompressible fluids based on very simple considerations (Newton laws for a single Lagrangian particle). I consider a continuum of particles with their trajectories parameterized by time (characteristics). The “path bundle” method considers groups of characteristics, described by a small number of parameters (e.g. center of mass, momentum, angular momentum). The PDE that governs the time evolution of these parameters is deduced from a principle of least action under the constraint that each characteristic remains in the same group. The numerical problem is solved by specific algorithms that take into account the geometric nature of the equation. The benefits of the method is that interface tracking (including free surface) becomes very easy. More importantly, since the method is purely Lagrangian, another benefit is the absence of field interpolation that introduce dispersion/damping when fields are transfered between Lagrangian particles and the Eulerian grid (here there is no Euler grid), thus fine scale motion of the fluid is accurately represented. Finally, the formulation makes it easier to enforce conservation laws (mass, linear and angular momentum, energy).


Bruno Levy is a senior researcher with Inria, and the head of the ALICE group (geometry processing and computer fabrication) that he created in 2004 (now eight faculties). He received the Inria/French Academy of Sciences young researcher award in 2011. He is associate editor for The Visual Computer, ACM TOG and Graphical Models, and he is a member of the steering committee of SMA/SPM. He was paper co-chair of Eurographics 2014, Pacific Graphic 2013, SGP 2010, SPM 2008 and 2007. From 1998 to 2006, he focused on mesh parameterization, texture mapping and conversion between representations (e.g. mesh to Splines). From 2007 to 2014, in the frame of his ERC projects GOODSHAPE and VORPALINE, he worked on sampling (vector quantization) and meshing (isotropic, anisotropic, hex-dominant mesh generation). His latest research concerns computational physics, more specifically numerical algorithms for solving some partial differential equations and practical geometric algorithms for generating structured and unstructured meshes. All of his research results are available as open-source software (Graphite/Geogram) or proprietary software (Vorpaline).