Papers by Bianca Falcidieno
Guest editor's introduction
Michela Spagnuolo, Alexander Belyaev, and Hiromasa Suzuki
ACM SIGGRAPH Computer Graphics, 1996
Special Issue Guest Editor: Dr. Bianca Falcidieno
AIM@SHAPE is a Network of Excellence project within EU's Sixth Framework Programme Full name: Advanced and Innovative Models And Tools for the development of Semantic-based systems for Handling, Acquiring, and Processing Knowledge Embedded in multidimensional digital objects
EUROGRAPHICS'99: STAR, State of the Art Reports
Reeb Graphs
Springer eBooks, 2014
Piecewise polynomial approximation of spatial curvilinear profiles using the Hough transform
Applied Mathematics and Computation, Nov 1, 2023
Geometry, Topology, and Shape Representation
Springer eBooks, 2014
Algebraic Topology and Topology Invariants
Springer eBooks, 2014
Differential Geometry and Shape Analysis
Springer eBooks, 2014
A conversation with Bianca Falcidieno: SMI 2021 Tosiyasu Kunii Achievement Award winner
Computers & Graphics, May 1, 2022
GCH 2016 : Eurographics Workshop on Graphics and Cultural Heritage
The 14th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (GCH 2016) aims to foster an int... more The 14th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (GCH 2016) aims to foster an international dialogue between ICT experts and CH scientists to have a better understanding of the critical requirements for processing, managing, and delivering cultural information to a broader audience. The objective of the workshop is to present and showcase new developments within the overall process chain, from data acquisition, analysis and synthesis, 3D documentation, and data management, to new forms of interactive presentations and 3D printing solutions. Interdisciplinary approaches for analysis, classification and interpretation of cultural artefacts are particularly relevant to the event. The intention of GCH 2016 is also to establish a scientific forum for scientists and CH professionals to exchange and disseminate novel ideas and techniques in research, education and dissemination of Cultural Heritage, transfer them in practice, and trace future research and technological directions. Therefore, we seek original, innovative and previously unpublished contributions in the computer graphics area applied to digital cultural heritage, challenging the state of the art solutions and leveraging new ideas for future developments. Specific sessions will be devoted to reports on applications, experiences and projects in this domain. Contributions are solicited (but not limited to) in the following areas: - 2/3/4D data acquisition and processing in Cultural Heritage - Multispectral imaging and data fusion - Digital acquisition, representation and communication of intangible heritage - Material acquisition analysis - Heterogeneous data collection, integration and management - 3D printing of cultural assets - Shape analysis and interpretation - Similarity and search of digital artefacts - Visualization and Virtual Museums - Multi-modal and interactive environments and applications for Cultural Heritage - Spatial and mobile augmentation of physical collections with digital presentations - Semantic-aware representation of digital artefacts (metadata, classification schemes, annotation) - Digital libraries and archiving of 3D documents - Standards and documentation - Serious games in Cultural Heritage - Storytelling and design of heritage communications - Tools for education and training in Cultural Heritage - Experiences and projects in Computer Graphics and CH documentation, conservation and dissemination
HAL (Le Centre pour la Communication Scientifique Directe), 2010
The 3D Shape Retrieval Contest 2010 (SHREC'10) robust shape retrieval benchmark simulates a retri... more The 3D Shape Retrieval Contest 2010 (SHREC'10) robust shape retrieval benchmark simulates a retrieval scenario, in which the queries include multiple modifications and transformations of the same shape. The benchmark allows evaluating how algorithms cope with certain classes of transformations and what is the strength of the transformations that can be dealt with. The present paper is a report of the SHREC'10 robust shape retrieval benchmark results.
International Journal On Interactive Design And Manufacturing (ijidem), Nov 5, 2019
Designing appealing products plays a key role in commercial success. Understanding the relationsh... more Designing appealing products plays a key role in commercial success. Understanding the relationships between aesthetic properties and shape characteristics of a product can contribute to define user-friendly and interactive designing tools supporting the early design phases. This paper introduces a generic framework for mapping aesthetic properties to 3D free form shapes. The approach uses machine learning techniques to identify rules between the user-defined classifications of shapes and the geometric parameters of the underlying free form surfaces and to create an efficient classification model. The framework has been set up and validated focusing on the flatness aesthetic property but is generic and can be applied to others. Several experiments have been conducted to understand if there is a consistency among people in the judgement of a specific aesthetic properties, if and to which extent the surrounding of the judged surface affects the perception consistency, and which are the surface geometric quantities influencing the perception. A graphic user interface has been designed to allow a fast classification of thousands of shapes automatically generated. The experiments have been conducted following a systematic methodology comparing two different approaches. The results confirm that the perception of flatness is commonly shared by the majority and the most relevant attributes have been identified. Additionally, it results that the surrounding information extension and context influence the perception of the flatness strengthening the classification consistency. The way those results can be used to design new interactive tools and to improve the product design process is discussed.
Plumber: A Multi-scale Decomposition of 3D Shapes into Tubular Primitives and Bodies
Plumber is a specialized shape classi cation method for detecting tubular features of 3D objects ... more Plumber is a specialized shape classi cation method for detecting tubular features of 3D objects represented by a triangle mesh. The Plumber algorithm segments a surface into connected components that are either body parts or elongated features, that is, handle-like and protrusion-like features, together with their concave counterparts, i.e. narrow tunnels and wells. The segmentation can be done at single or multi-scale, and produces a shape graph which codes how the tubular components are attached to the main body parts. Moreover, each tubular feature is represented by its skeletal line and an average cross-section radius.
Spectral Methods for Shape Analysis
Springer eBooks, 2014
Morse and Morse-Smale Complexes
Springer eBooks, 2014
Resources
Springer eBooks, 2014
Topological Persistence
Springer eBooks, 2014
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Papers by Bianca Falcidieno