Publication
Discovery of intrinsic primitives on triangle meshes
AbstractThe discovery of meaningful parts of a shape is required for many geometry processing applications, such as parameterization, shape correspondence, and animation. It is natural to consider primitives such as spheres, cylinders and cones as the building blocks of shapes, and thus to discover parts by fitting such primitives to a given surface. This approach, however, will break down if primitive parts have undergone almost-isometric deformations, as is the case, for example, for articulated human models. We suggest that parts can be discovered instead by finding intrinsic primitives, which we define as parts that posses an approximate intrinsic symmetry. We employ the recently-developed method of computing discrete approximate Killing vector fields (AKVFs) to discover intrinsic primitives by investigating the relationship between the AKVFs of a composite object and the AKVFs of its parts. We show how to leverage this relationship with a standard clustering method to extract k intrinsic primitives and remaining asymmetric parts of a shape for a given k. We demonstrate the value of this approach for identifying the prominent symmetry generators of the parts of a given shape. Additionally, we show how our method can be modified slightly to segment an entire surface without marking asymmetric connecting regions and compare this approach to state-of-the-art methods using the Princeton Segmentation Benchmark.
Download publicationRelated Resources
See what’s new.
2005
Alias Cloth Technology Demonstration for the Cell Processor
This technology demonstration shows a prototype of a next generation…
2013
The Method of Cyclic Intrepid Projections: Convergence Analysis and Numerical Experiments
The convex feasibility problem asks to find a point in the…
2017
WeBuild: Automatically Distributing Assembly Tasks Among Collocated Workers to Improve Coordination
Physical construction and assembly tasks are often carried out by…
2013
A Practical Investigation into Achieving Bio-Plausibility in Evo-Devo Neural Microcircuits Feasible in an FPGA
Many researchers has conjectured, argued, or in some cases…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us