Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas Alderighi
dblp:224/0670
· DBLP profile ↗
7ranked-venue papers
5as first author
4since 2021 · last 2022
0000-0001-6111-1300ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 7 · 5 first-author · 4 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
4 papers |
Geometric modeling and processing · 62% Computational fabrication · 38% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational fabrication › mechanical design
mold design |
1.2 | 3 | 2021 | Volume decomposition for two-piece rigid casting · ACM Trans. Graph. 2021 Volume-aware design of composite molds · ACM Trans. Graph. 2019 Metamolds: computational design of silicone molds · ACM Trans. Graph. 2018 |
Geometric modeling and processing › vector field analysis › directional fields
cross field computation |
0.5 | 1 | 2021 | Reliable feature-line driven quad-remeshing · ACM Trans. Graph. 2021 |
Geometric modeling and processing › mesh processing › remeshing
quad remeshing |
0.5 | 1 | 2021 | Reliable feature-line driven quad-remeshing · ACM Trans. Graph. 2021 |
Geometric modeling and processing › shape decomposition
volume decomposition |
0.5 | 1 | 2021 | Volume decomposition for two-piece rigid casting · ACM Trans. Graph. 2021 |
Geometric modeling and processing
mesh segmentation |
0.3 | 1 | 2018 | Metamolds: computational design of silicone molds · ACM Trans. Graph. 2018 |
Geometric modeling and processing
mesh generation |
0.1 | 1 | 2021 | Reliable feature-line driven quad-remeshing · ACM Trans. Graph. 2021 |
Methods — techniques the papers use, named apart from their topics
t-junction handling · 0.5energy formulation · 0.5cross-field optimization · 0.5accessibility analysis · 0.5volumetric analysis · 0.4segmentation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | State of the Art in Computational Mould DesignabstractAbstract Moulding refers to a set of manufacturing techniques in which a mould, usually a cavity or a solid frame, is used to shape a liquid or pliable material into an object of the desired shape. The popularity of moulding comes from its effectiveness, scalability and versatility in terms of employed materials. Its relevance as a fabrication process is demonstrated by the extensive literature covering different aspects related to mould design, from material flow simulation to the automation of mould geometry design. In this state‐of‐the‐art report, we provide an extensive review of the automatic methods for the design of moulds, focusing on contributions from a geometric perspective. We classify existing mould design methods based on their computational approach and the nature of their target moulding process. We summarize the relationships between computational approaches and moulding techniques, highlighting their strengths and limitations. Finally, we discuss potential future research directions. Thomas Alderighi, Luigi Malomo, Thomas Auzinger, Bernd Bickel, Paolo Cignoni, Nico Pietroni |
Comput. Graph. Forum | 1 |
| 2021 | Computational design, fabrication and evaluation of rubber protein models
Thomas Alderighi, Daniela Giorgi, Luigi Malomo, Paolo Cignoni, Monica Zoppè |
Comput. Graph. | 1 |
| 2021 | Volume decomposition for two-piece rigid castingabstractWe introduce a novel technique to automatically decompose an input object's volume into a set of parts that can be represented by two opposite height fields. Such decomposition enables the manufacturing of individual parts using two-piece reusable rigid molds. Our decomposition strategy relies on a new energy formulation that utilizes a pre-computed signal on the mesh volume representing the accessibility for a predefined set of extraction directions. Thanks to this novel formulation, our method allows for efficient optimization of a fabrication-aware partitioning of volumes in a completely automatic way. We demonstrate the efficacy of our approach by generating valid volume partitionings for a wide range of complex objects and physically reproducing several of them. Thomas Alderighi, Luigi Malomo, Bernd Bickel, Paolo Cignoni, Nico Pietroni |
ACM Trans. Graph. | 1 |
| 2021 | Reliable feature-line driven quad-remeshingabstractWe present a new algorithm for the semi-regular quadrangulation of an input surface, driven by its line features, such as sharp creases. We define a perfectly feature-aligned cross-field and a coarse layout of polygonal-shaped patches where we strictly ensure that all the feature-lines are represented as patch boundaries. To be able to consistently do so, we allow non-quadrilateral patches and T-junctions in the layout; the key is the ability to constrain the layout so that it still admits a globally consistent, T-junction-free, and pure-quad internal tessellation of its patches. This requires the insertion of additional irregular-vertices inside patches, but the regularity of the final-mesh is safeguarded by optimizing for both their number and for their reciprocal alignment. In total, our method guarantees the reproduction of feature-lines by construction, while still producing good quality, isometric, pure-quad, conforming meshes, making it an ideal candidate for CAD models. Moreover, the method is fully automatic, requiring no user intervention, and remarkably reliable, requiring little assumptions on the input mesh, as we demonstrate by batch processing the entire Thingi10K repository, with less than 0.5% of the attempted cases failing to produce a usable mesh. Nico Pietroni, Stefano Nuvoli, Thomas Alderighi, Paolo Cignoni, Marco Tarini |
ACM Trans. Graph. | 3 |
| 2020 | Optimizing Object Decomposition to Reduce Visual Artifacts in 3D PrintingabstractAbstract We propose a method for the automatic segmentation of 3D objects into parts which can be individually 3D printed and then reassembled by preserving the visual quality of the final object. Our technique focuses on minimizing the surface affected by supports, decomposing the object into multiple parts whose printing orientation is automatically chosen. The segmentation reduces the visual impact on the fabricated model producing non‐planar cuts that adapt to the object shape. This is performed by solving an optimization problem that balances the effects of supports and cuts, while trying to place both in occluded regions of the object surface. To assess the practical impact of the solution, we show a number of segmented, 3D printed and reassembled objects. Irene Filoscia, Thomas Alderighi, Daniela Giorgi, Luigi Malomo, Marco Callieri, Paolo Cignoni |
Comput. Graph. Forum | 2 |
| 2019 | Volume-aware design of composite moldsabstractWe propose a novel technique for the automatic design of molds to cast highly complex shapes. The technique generates composite, two-piece molds. Each mold piece is made up of a hard plastic shell and a flexible silicone part. Thanks to the thin, soft, and smartly shaped silicone part, which is kept in place by a hard plastic shell, we can cast objects of unprecedented complexity. An innovative algorithm based on a volumetric analysis defines the layout of the internal cuts in the silicone mold part. Our approach can robustly handle thin protruding features and intertwined topologies that have caused previous methods to fail. We compare our results with state of the art techniques, and we demonstrate the casting of shapes with extremely complex geometry. Thomas Alderighi, Luigi Malomo, Daniela Giorgi, Bernd Bickel, Paolo Cignoni, Nico Pietroni |
ACM Trans. Graph. | 1 |
| 2018 | Metamolds: computational design of silicone moldsabstractWe propose a new method for fabricating digital objects through reusable silicone molds. Molds are generated by casting liquid silicone into custom 3D printed containers called metamolds. Metamolds automatically define the cuts that are needed to extract the cast object from the silicone mold. The shape of metamolds is designed through a novel segmentation technique, which takes into account both geometric and topological constraints involved in the process of mold casting. Our technique is simple, does not require changing the shape or topology of the input objects, and only requires of-the-shelf materials and technologies. We successfully tested our method on a set of challenging examples with complex shapes and rich geometric detail. Thomas Alderighi, Luigi Malomo, Daniela Giorgi, Nico Pietroni, Bernd Bickel, Paolo Cignoni |
ACM Trans. Graph. | 1 |