The fragile art of 3D meshing
Speaker: Prof. Nico Pietroni
University of Technology, Sydney
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
June 21st, 2024 | 2.00 pm
Contact: Prof. Elisabetta Di Nitto
Research Line: Advanced software architectures and methodologies
University of Technology, Sydney
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
June 21st, 2024 | 2.00 pm
Contact: Prof. Elisabetta Di Nitto
Research Line: Advanced software architectures and methodologies
Sommario
On June 21st, 2024 at 2.00 pm the seminar "The fragile art of 3D meshing" will take place at DEIB Seminar Room "Nicola Schiavoni" (Building 20).
Modern 3D sensor technologies allow efficient digital reproductions of many real-world objects. However, the produced 3D data is usually organized as a point cloud or a triangle mesh. While this data may accurately represent the shape of an object, it is not suitable for most applications beyond simple viewing. While reconstructed models might be very accurate, the underlying structure is significantly different from the ones designed by the artist. Automatic reverse modeling is a challenging problem to model correctly because the connection between the geometry of a surface and its ideal, application-dependent meshing is highly complex. Therefore, the quality of a mesh cannot be directly measured by geometric quantities only. Unfortunately, the current methods are limited to optimizing the quality of each element composing the mesh. As a result, we are still far from replicating the modeler’s results. This talk will illustrate the open challenges in meshing, showing the novel approaches that combine geometry processing and user interaction to automate the creation of high-value volumetric and surface meshes from an unstructured 3D triangle mesh.
Modern 3D sensor technologies allow efficient digital reproductions of many real-world objects. However, the produced 3D data is usually organized as a point cloud or a triangle mesh. While this data may accurately represent the shape of an object, it is not suitable for most applications beyond simple viewing. While reconstructed models might be very accurate, the underlying structure is significantly different from the ones designed by the artist. Automatic reverse modeling is a challenging problem to model correctly because the connection between the geometry of a surface and its ideal, application-dependent meshing is highly complex. Therefore, the quality of a mesh cannot be directly measured by geometric quantities only. Unfortunately, the current methods are limited to optimizing the quality of each element composing the mesh. As a result, we are still far from replicating the modeler’s results. This talk will illustrate the open challenges in meshing, showing the novel approaches that combine geometry processing and user interaction to automate the creation of high-value volumetric and surface meshes from an unstructured 3D triangle mesh.
Biografia
Nico Pietroni is a Associate Professor in the School of Computer Science at the University Of Technology Sydney. His research focus is on the fields of computer graphics and geometry processing. He investigates concepts and practical algorithms for creating and manipulating digital shape representation. Nico is interested in how geometry processing intersects with architecture, artistic modelling, and digital fabrication. His primary goal is to push the boundaries of current industrial production pipelines by exploiting the theoretical foundations in geometry processing. His research includes mesh parametrization, surface abstraction, and global optimization applied to the entertainment industry, digital fabrication, and architectural geometry.
www.nicopietroni.com
www.nicopietroni.com
