Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 23 for “"geometry processing"”.
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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 …
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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 …
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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 …
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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 …
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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 …
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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. …
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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 …
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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 …
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A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains
… nonlinear PDE that appear in diffusion tasks in geometry processing.
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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 …
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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 …
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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 …
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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 …
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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 …
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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 …
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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) …
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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 …
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Generation and Optimization of Quadrilateral and Hexahedral Meshes
Structured quadrilateral (quad) meshes are preferred in many engineering and medical applications due to their desired numerical properties. Despite the extensive research, automatic generation of quad- and hex- meshes with optimal structure remains a challenge. In-lieu-of generating a quad-mesh …
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Skeleton-based visualization of massive voxel objects with network-like architecture
… these voxel skeletons to piecewise linear geometry, that is triangle meshes and piecewise straight lines. The presented techniques help to tackle the challenge of visualizing and analyzing 3d images of increasing size and complexity, which are becoming more and more important in, for …
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Parametric curve and Partial Differential Equation-based parametric surface reconstruction from point clouds
… as the need for large data storage and complex geometry processing. Moreover, maintaining good continuity between reconstructed parametric patches is often challenging. In contrast, PDE-based methods for surface reconstruction are advantageous due to their low storage requirement, strong fitting …
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