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Showing 1 to 20 of 27 for “"Geometry Processing"”.

  1. Geometry Processing with Neural Fields

    Geometry processing consists of algorithms for shape creation, manipulation, and analysis. These algorithms are cornerstones for the creation of almost every digital shapes. These shapes are consumed in our everyday lives, from digital contents to manufactured objects. These algorithms are …

    cornell Repository record for Geometry Processing with Neural Fields (opens in a new tab)

  2. Relaxing Topological Barriers in Geometry Processing

    … in field-based meshing and unlock polynomial geometry kernels for physical simulation. We bring together frame fields with spectral representation of geometry. We use current relaxation to devise a new neural shape representation for surfaces with boundary as well as a convex relaxation of …

    mit Repository record for Relaxing Topological Barriers in Geometry Processing (opens in a new tab)

  3. Surpassing Local Optimality in Geometry Processing

    Geometry processing is a diverse field studying questions such as how to represent a shape, how to modify a shape, and how shapes respond to perturbation. These questions lie at the heart of many applications in computational design, simulation, fabrication, and animation. We approach these …

    mit Repository record for Surpassing Local Optimality in Geometry Processing (opens in a new tab)

  4. Machine Learning Algorithms for Geometry Processing by Example

    … thesis proposes machine learning algorithms for processing geometry by example. Each algorithm takes as input a collection of shapes along with exemplar values of target properties related to shape processing tasks. The goal of the algorithms is to output a function that maps from the shape data …

    toronto-retro Repository record for Machine Learning Algorithms for Geometry Processing by Example (opens in a new tab)

  5. Volumetric Mapping for Medical Imaging and Geometry Processing

    … for mapping tasks in computer graphics and geometry processing as a whole. We propose an automatic segmentation method to extract placental shapes from MRI. To alleviate interpretation issues of placental MRI, we propose a volumetric parameterization to map the placenta to a standardized …

    mit Repository record for Volumetric Mapping for Medical Imaging and Geometry Processing (opens in a new tab)

  6. Efficient data structures for distributed and mobile geometry processing

    3D geometry data is now establishing as a new digital multimedia data type after text and sound in 1980' and images and video in 1990'. One of the major advantages of 3D data is that it enables users to actually interact with the displayed contents, which has embraced more and enhanced interactive …

    aachen Repository record for Efficient data structures for distributed and mobile geometry processing (opens in a new tab)

  7. Steklov geometry processing : an extrinsic approach to spectral shape analysis

    … alternative to the Laplacian for spectral geometry processing and shape analysis. Intrinsic approaches, usually based on the Laplace-Beltrami operator, cannot capture the spatial embedding of a shape up to rigid motion, and many previous extrinsic methods lack theoretical justification. …

    mit Repository record for Steklov geometry processing : an extrinsic approach to spectral shape analysis (opens in a new tab)

  8. Combining raster- and vector-representations for image and geometry processing applications

    … very challenging tasks in the areas of image and geometry processing. By this we also draw parallels between these two, at first glance, completely different areas in computer graphics, and show a way to address problems posed in these areas in a unified manner. We present a number of novel …

    aachen Repository record for Combining raster- and vector-representations for image and geometry processing applications (opens in a new tab)

  9. Integrable symmetric fields in computational design : from stable woven shells to seamless parameterizations

    … in computer graphics, particularly in areas like geometry processing and computational fabrication, leverage a general toolkit that can be conceptualized as leveraging energy driven pattern formation to solve inverse problems. A large class of such problems ultimately involve minimizing an energy …

    texas Repository record for Integrable symmetric fields in computational design : from stable woven shells to seamless parameterizations (opens in a new tab)

  10. Deep Learning on Geometry Representations

    … the other hand, decades of computer graphics and geometry processing research have resulted in specialized algorithms and tools that use representations without such regular structure. In this thesis, we revisit conventional approaches in graphics in geometry to propose deep learning pipelines and …

    mit Repository record for Deep Learning on Geometry Representations (opens in a new tab)

  11. A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains

    … nonlinear PDE that appear in diffusion tasks in geometry processing.

    mit Repository record for A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains (opens in a new tab)

  12. Fatigue optimization of an induction hardened shaft under combined loading

    … and lifetime. Through systematic variation of geometry, processing, and loading parameters, performance surfaces are generated from which optimum case depths for maximizing shaft fatigue performance are determined. General implications of such procedures to the product development process are …

    vt Repository record for Fatigue optimization of an induction hardened shaft under combined loading (opens in a new tab)

  13. A hybrid approach to problems in image processing

    Digital image processing generally refers to the use of computer algorithms that deal with operations on or analysis of digital images. It covers a wide range of intriguing sub-topics. While these topics may vary from pattern recognition, classification to synthesis and generation, most techniques …

    uiuc Repository record for A hybrid approach to problems in image processing (opens in a new tab)

  14. Scaling Metal Additive Manufacturing from R&D to Production

    … Connecting commercial data, information about geometry, processing, materials, post-processing, and testing to a build allows to gain a system-level understanding while also being able to dive into details where needed. After implementation, the framework can be used to (i) qualify processes …

    mit Repository record for Scaling Metal Additive Manufacturing from R&D to Production (opens in a new tab)

  15. Automatic generation of structure preserving models for computer-aided geometric design

    … engineering physical objects, which surface geometry is represented by dense triangle meshes. We contribute several novel algorithms and new research results in the following geometry processing areas: polygonal mesh simplification, anisotropic and quad-dominant remeshing, scattered data …

    aachen Repository record for Automatic generation of structure preserving models for computer-aided geometric design (opens in a new tab)

  16. Large-scale Geometric Data Decomposition, Processing and Structured Mesh Generation

    … critical problem in geometric data modeling and processing. In most scientific and engineering tasks that involve numerical computations and simulations on 2D/3D regions or on curved geometric objects, discretizing or approximating the geometric data using a polygonal or polyhedral meshes is …

    lsu-thes Repository record for Large-scale Geometric Data Decomposition, Processing and Structured Mesh Generation (opens in a new tab)

  17. Geometric Computing beyond the Laplacian

    … the central object of study in shape analysis, geometry processing, and scientific computing. Motivated by the ubiquity of Laplacian in geometric computing algorithms, this thesis initiates a program for systematically designing novel algorithms by replacing the Laplacian with better or even …

    mit Repository record for Geometric Computing beyond the Laplacian (opens in a new tab)

  18. On Disentangled Analysis-by-Synthesis Shape Representations

    … forming internal representations of its 3D geometry, often through visual perception. Hence, in this thesis, we investigate the representation learning of 3D shape via computer vision (CV). In particular, we explore the Analysis-by-Synthesis (AbS) paradigm, which postulates perceptual …

    toronto-retro Repository record for On Disentangled Analysis-by-Synthesis Shape Representations (opens in a new tab)

  19. Manufacturing Variability in High Pressure Turbine Rotor Blades

    … was used measure the manufactured blades and geometry processing scripts were developed to extract the manufacturing variability once the blades were aligned to the design-intent coordinate system. The extracted manufacturing variability were then mapped to computational fluid dynamics (CFD) …

    cambridge Repository record for Manufacturing Variability in High Pressure Turbine Rotor Blades (opens in a new tab)

  20. High-order numerical methods for layer potential evaluation

    … The contribution in this thesis also includes a geometry processing framework to prepare arbitrary smooth geometries for accurate quadrature with QBX, a comprehensive complexity and error analysis of the algorithm, and a cost model and study of key optimizations. This thesis also considers the …

    uiuc Repository record for High-order numerical methods for layer potential evaluation (opens in a new tab)

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