SMI 2023 Shape Modeling International Conference Jul 4, 2023 - Jul 6, 2023 Genova, Italy Mar 20, 2023 (Mar 13, 2023) SMI 2022 Shape Modeling International Conference Jun 27, 2022 - Jun 29, 2022 Online Mar 15, 2022 (Mar 8, 2022) SMI 2021 Shape Modeling International Conference Nov 14,...
modeling, design and editing Learning techniques for shape modeling Medial and skeletal representations Parametric and procedural models Segmentation Semantics of shapes Shape analysis and synthesis Shape modeling applications (product design, biomedicine, GIS, geoscience, art, education and training, cultural...
Online from NTU, Singapore, June 27-29, 2022 Shape Modeling International (SMI) 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...
Ohbuchi R, Osada k, Furuya T, et al. Salient local visual features for shape-based 3D model retrieval. In: Proceed- ings of IEEE international conference on shape modeling and applications, Stony Brook, NY, 4-6 June 2008, pp.93-102. New York: IEEE....
Proceedings of Shape Modeling International (SMI 2019). SMI2019, which is part of the International Geometry Summit 2019 (http://www.geometrysummit.org/), provides an international forum for the dissemination of new mathematical theories and computationa
摘要: This paper describes a new technique for the triangulation of parametric surfaces. Most earlier methods sample the parameter domain, and the wrong choice of parameterization can spoil the triangulation or even cause the algorithm to fail. Conversely, ......
1a, b. Such structures are generally studied by finite element modeling (FEM)19,20,21,22. Kinematic structures, illustrated in Fig. 1c–e, have a limited number of DoF. The current designs and mathematical representations of shape-morphing structures often have limited mobility and can ...
We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset of 3D images, the Headspace dataset, thus generating th
(9) 4.3 Local Structure Modeling In order to interpret a given shape in the input image based on ASM, we must find a set of parameters that best match the model to the input shape. If we assume that the shape model represents boundaries and strong edges of the object, a profile across...
Shape Modeling International (SMI2015) 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 pr...