Find the proceedings of SMI 2016 here.
Shape Modeling International (SMI 2016), which this year is part of the Geometry Summit, provides an international forum for the dissemination of new mathematical theories and computational techniques for modeling, simulating and processing digital representations of shapes and their properties to a community of researchers, developers, students, and practitioners across a wide range of fields. Conference proceedings (long and short papers) will be published in a special issue of Computer & Graphics Journal, Elsevier. Papers presenting original research are being sought in all areas of shape modeling and its applications.
Topics
- Acquisition & reconstruction
- Healing & resampling
- Correspondence & registration
- Shape transformation & deformation
- Compression & streaming
- Implicit surfaces
- Interactive design
- Interactive editing
- Sketching & 3D input
- Computational topology
- Exploration and analysis of shape collections
- Interactive design and editing - Curves and surfaces
- Parametric & procedural models
- Volume & multidimensional modeling
- Multi-resolution techniques
- Subdivision methods
- Shape analysis
- Semantics of shapes
- Shape matching & retrieval
- Features extraction & classification
- Segmentation
- Shape modeling for 3D printing and fabrication
- Medical images computing and analysis
Important dates
- Full papers due: 22:00h UTC March 14, 2016
- First review notifications: April 18, 2016
- Revised papers due: April 25, 2016
- Final acceptance notifications: May 6, 2016
- Camera-ready papers due: May 13, 2016
SMI Reproducibility Stamp
All papers submitted at SMI 2016 will be subject to a rigorous review process where experts in the field evaluate the technical correctness and reproducibility of the scientific results in the paper. The *reproducibility stamp* is an additional recognition for authors of accepted papers who are willing to go one step further, and in addition to publishing the paper, provide a complete open-source implementation of their algorithm.