Dr. Paolo Cignoni
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Academic Career Length
34Years (1993-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 June 1998 in Computer Graphics Forum
Journal Article
This paper presents a new tool, Metro, designed to compensate for a deficiency in many simplification methods proposed in literature. Metro allows one to compare the difference between a pair of surfaces (e.g. a triangulated mesh and its simplified representation) by adopting a surface sampling approach. It has been designed as a highly general tool, and it does no assumption on the particular approach used to build the simplified representation. It returns both numerical results (meshes areas and volumes, maximum and mean error, etc.) and visual results, by coloring the input surface according to the approximation error.
20 November 2006 in IEEE Transactions on Visualization and Computer Graphics
Journal Article
The paper presents a set of combined techniques to enhance the real-time visualization of simple or complex molecules (up to order of 106 atoms) space fill mode. The proposed approach includes an innovative technique for efficient computation and storage of ambient occlusion terms, a small set of GPU accelerated procedural impostors for space-fill and ball-and-stick rendering, and novel edge-cueing techniques. As a result, the user's understanding of the three-dimensional structure under inspection is strongly increased (even for'still images), while the rendering still occurs in real time
1 February 1998 in Computers & Graphics
Journal Article
31 January 2012 in IEEE Transactions on Visualization and Computer Graphics
Journal Article
Massimiliano CorsiniPaolo CignoniRSRoberto Scopigno
Roberto Scopigno
This paper deals with the problem of taking random samples over the surface of a 3D mesh describing and evaluating efficient algorithms for generating different distributions. We discuss first the problem of generating a Monte Carlo distribution in an efficient and practical way avoiding common pitfalls. Then, we propose Constrained Poisson-disk sampling, a new Poisson-disk sampling scheme for polygonal meshes which can be easily tweaked in order to generate customized set of points such as importance sampling or distributions with generic geometric constraints. In particular, two algorithms based on this approach are presented. An in-depth analysis of the frequency characterization and performance of the proposed algorithms are also presented and discussed.
27 July 2015 in ACM Transactions on Graphics
Journal Article
JPJulian Panetta
Julian Panetta
QZQingnan Zhou
Qingnan Zhou
LMLuigi Malomo
Luigi MalomoNPNico Pietroni
Nico PietroniPaolo CignoniDZDenis Zorin
Denis Zorin
We introduceelastic textures:a set of parametric, tileable, printable, cubic patterns achieving a broad range of isotropic elastic material properties: the softest pattern is over a thousand times softer than the stiffest, and the Poisson's ratios range from below zero to nearly 0.5. Using a combinatorial search over topologies followed by shape optimization, we explore a wide space of truss-like, symmetric 3D patterns to obtain a small family. This pattern family can be printed without internal support structure on a single-material 3D printer and can be used to fabricate objects with prescribed mechanical behavior. The family can be extended easily to create anisotropic patterns with target orthotropic properties. We demonstrate that our elastic textures are able to achieve a user-supplied varying material property distribution. We also present a material optimization algorithm to choose material properties at each point within an object to best fit a target deformation under a prescribed scenario. We show that, by fabricating these spatially varying materials with elastic textures, the desired behavior is achieved.
1 September 2001 in Computer Graphics Forum
Journal Article
CRC. Rocchini
C. Rocchini
Paolo CignoniCMC. Montani
C. Montani
PPP. Pingi
P. Pingi
RSR. Scopigno
R. Scopigno
About Me
Dr Paolo Cignoni is a Research Director with CNR-ISTI, where he leads the Visual computing Laboratory. He was awarded by the Eurographics Association "Best Young Researcher" in 2004, and he got the "Outstanding Technical Contributions Award" in 2021. Since 2022, he is part of the ACM SIGGRAPH Academy. His research interests cover many Computer Graphics fields, including geometry processing and machine learning technologies for 3D, applied to 3D scanning data processing, digital fabrication, scientific visualisation, and digital heritage.
His laboratory has provided the community with many successful and widely distributed advanced software tools that have helped millions of people's research and professional activities worldwide. One of the most well-known software systems developed by the lab is MeshLab, a widely known open-source mesh processing tool used by thousands of users in hundreds of universities, research centres, and companies. He has published more than 180 papers in international refereed journals/conferences and has served on the program committee of all the most important conferences on computer graphics. He is a member of the Eurographics Executive Committee.