SIGGRAPH 2010 By Focus
Discrete-Scale Axis Representations for 3D Geometry
This paper addresses the fundamental problem of computing stable medial representations of 3D shapes. A spatially adaptive classification of features yields a robust algorithm for generating medial representations at different levels of abstraction. The method demonstrates application of the algorithm to hundreds of shapes, including complex geometries consisting of millions of triangles.
Learning 3D Mesh Segmentation and Labeling
This paper presents a data-driven approach to simultaneous segmentation and labeling of parts in 3D meshes. The algorithm uses hundreds of geometric and contextual features, and learns different types of segmentations for different tasks, without requiring manual parameter tuning.
Symmetry-Factored Embedding and Distance
This paper introduces symmetry-factored embedding (SFE) and the corresponding symmetry-factored distance (SFD) as new tools to detect, analyze, and quantify symmetry in point sets.
A Connection Between Partial Symmetry and Inverse Procedural Modeling
This framework for computing shape grammars from 3D example geometry encodes objects that are locally similar to the exemplar, which is used for semi-automatic modeling. This approach is the first inverse procedural-modeling technique for 3D shapes that computes shape grammars without user interaction.