Journal Information
Computer Aided Geometric Design
Impact Factor:

Call For Papers
The journal Computer Aided Geometric Design is for researchers, scholars, and software developers dealing with mathematical and computational methods for the description of geometric objects as they arise in areas ranging from CAD/CAM to robotics and scientific visualization. The journal publishes original research papers, survey papers and with quick editorial decisions short communications of at most 3 pages. The primary objects of interest are curves, surfaces, and volumes such as splines (NURBS), meshes, subdivision surfaces as well as algorithms to generate, analyze, and manipulate them. This journal will report on new developments in CAGD and its applications, including but not restricted to the following:

    Mathematical and Geometric Foundations
    Curve, Surface, and Volume generation
    CAGD applications in Numerical Analysis, Computational Geometry, Computer Graphics, or Computer Vision
    Industrial, medical, and scientific applications

The aim is to collect and disseminate information on computer aided design in one journal. To provide the user community with methods and algorithms for representing curves and surfaces. To illustrate computer aided geometric design by means of interesting applications. To combine curve and surface methods with computer graphics. To explain scientific phenomena by means of computer graphics. To concentrate on the interaction between theory and application. To expose unsolved problems of the practice. To develop new methods in computer aided geometry.
Last updated by Dou Sun in 2017-11-04
Special Issues
Special Issue on Heat Diffusion Equation and Optimal Transport in Geometry Processing and Computer Graphics
Submission Date: 2018-02-19

In geometry processing and shape analysis, several problems and applications have been addressed through the properties of the solution to the heat diffusion equation and to the optimal transport. For instance, diffusion kernels allow us to define diffusion distances, shape descriptors and clustering methods, to approximate geodesics and optimal transport distances, to deform 3D shapes, to smooth and approximate signals in a multi-scale fashion. Optimal transport has been successfully applied to volume parameterization, surface registration, inter-surface mapping, shape matching and comparison. Furthermore, the heat diffusion equation and the optimal transport are intrinsically correlated and central in different research fields, such as Computer Graphics, Geometry, Manifold Learning, and Differential Equations. This Special Section of the CAGD Journal, published by Elsevier, covers a range of topics on the properties, discretization, computation, and applications of the heat equation and the optimal transport in the context of Computer Graphics, Computer-Aided Geometric Design, and related research fields. The topics range from geometry processing to high-level understanding of 3D shapes, and more generally n-dimensional data, including feature extraction, segmentation, and matching. The list of suggested topics includes but is not limited to: • Heat diffusion equation • Diffusion kernels and distances • Diffusion shape descriptors • Multi-scale modeling and approximation • Optimal transport • Wasserstein distance • Geometry processing applications • Surface parameterization • Shape modelling applications • Shape matching and comparison • Dynamic surface tracking • Shape analysis and retrieval • Shape correspondence and registration • Manifold learning • Generative model in Machine Learning • Clustering and dimensionality reduction • Applications to Geometry Processing • Applications to Computer Graphics • Applications to Computational Geometry • Applications to 3D Printing • Applications to Material Design • Applications to Computer Vision • Applications to Medicine (e.g., brain and neuro-imaging)
Last updated by Dou Sun in 2017-11-04
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