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.
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Showing 1 to 6 of 6 for “"Signed Distance Field"”.
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Mesh Differentiable Rendering for Real-World Scenes
… these shells are extracted from an underlying signed distance field. Then, the shells are independently rasterized and the resulting images are alpha-composited using opacities derived from the shells' per-vertex signed distance values. Notably, the shells' vertex positions are updated only via …
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From Bones to Bytes
… sheep and gazelle tali, while the newly proposed signed distance field descriptor (SDFD) emerged as a strong balance between performance, runtime, and interpretability. In summary, this thesis demonstrates that computational methods can meaningfully augment archaeozoological analysis across …
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Variational multiscale method for coupled systems: free-surface flows and stratified turbulence
… stratified turbulence with a smooth temperature field. The additional nonlinearity introduced by the active scalar field to the nonlinear Navier-Stokes equation system is effectively accounted for by variationally derived stabilization term. In the context of the free-surface flows that are …
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Computational Fluid Dynamics with Embedded Cut Cells on Graphics Hardware
… has led to significant software speedup in many fields. Designing code for GPUs, however, requires careful consideration of the underlying hardware. This thesis explores the implementation of fluid dynamics simulations featuring embedded cut cells using the CUDA programming platform. We …
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A GPU Accelerated Signed Distance Voxel Modeling System
… of solids represented by interpolated grids of signed distance values. The basic format of values on a grid is consistent with the format of an image stack that would be obtained from a volumetric imaging system such as magnetic resonance, positron emission tomography (PET), etc. or sent to a …
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Universal Atrial Coordinate (UAC) for Wall Motion Deep Learning
… (UAC) system. Wall motion, quantified from Signed Distance Fields (SDF) and decomposed via fast Fourier transform (FFT), showed coordinated low-frequency contraction in SR and reduced amplitude with higher-frequency content in AF. The framework enables anatomy-independent motion comparison …