Frequency domain normal map filtering

HanCharles,; Sun, Bo; RamamoorthiRavi,; GrinspunEitan,

doi:10.1145/1276377.1276412

Cited by 87 publications

(13 citation statements)

References 34 publications

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“…Our method is also limited by the use of a single SGGX lobe: it cannot pre-filter surfaces with strong microscopic correlations between the geometry and albedos [HSRG07,HN12] or normal distributions that are very different from SGGX lobes. More accurate solutions could be computed using multi-lobe SGGX distributions similarly to Zhao et al [ZWDR16] in order to handle more complex appearances and avoid accumulation of errors during the process, leading to overly rough normal distributions.…”

Section: Discussionmentioning

confidence: 99%

Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets

Loubet

Neyret

2017

Computer Graphics Forum

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International audienceWe address the problem of constructing appearance-preserving level of details (LoDs) of complex 3D models such as trees. We propose a hybrid method that combines the strengths of mesh and volume representations. Our main idea is to separate macroscopic (i.e. larger than the target spatial resolution) and microscopic (sub-resolution) surfaces at each scale and to treat them differently, because meshes are very efficient at representing macroscopic surfaces while sub-resolution geometry benefits from volumetric approximations. We introduce a new algorithm that detects the macroscopic surfaces of a mesh for a given resolution. We simplify these surfaces with edge collapses and we provide a method for pre-filtering their normal distributions and albedos. To approximate microscopic details, we use a heterogeneous microflake participating medium and we introduce a new artifact-free voxelization algorithm that preserves local occlusion. Thanks to our macroscopic surface analysis, our algorithm is fully automatic and it generates seamless LoDs at arbitrarily coarse resolutions for a wide range of 3D models

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Section: Discussionmentioning

confidence: 99%

Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets

Loubet

Neyret

2017

Computer Graphics Forum

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“…Remark 6: In order to evaluate (19), we note that the separation of variables approach [21] can be used as an alternative to the factoring of rotation approach to develop a fast algorithm. This is due to the factorized form of Wigner-D function and the consideration of equiangular tessellation scheme for SO (3), which keeps the independence between the samples along different Euler angles. In terms of the computational complexity, the separation of variable approach has the same computational complexity as the factoring of rotation approach.…”

Section: A Direct Quadrature and Harmonic Formulationmentioning

confidence: 99%

“…S IGNALS that are inherently defined on the sphere appear in various fields of science and engineering, such as medical image analysis [1], geodesy [2], computer graphics [3], planetary science [4], electromagnetic inverse problems [5], cosmology [6], 3D beamforming [7] and wireless channel modeling [8]. In order to analyze and process signals on the sphere, many signal processing techniques have been extended from the Euclidean domain to the spherical domain [2], [9]- [23].…”

Section: Introductionmentioning

confidence: 99%

Fast Directional Spatially Localized Spherical Harmonic Transform

Khalid

Kennedy

Durrani

et al. 2013

IEEE Trans. Signal Process.

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Abstract-We propose a transform for signals defined on the sphere that reveals their localized directional content in the spatio-spectral domain when used in conjunction with an asymmetric window function. We call this transform the directional spatially localized spherical harmonic transform (directional SLSHT) which extends the SLSHT from the literature whose usefulness is limited to symmetric windows. We present an inversion relation to synthesize the original signal from its directional-SLSHT distribution for an arbitrary window function. As an example of an asymmetric window, the most concentrated band-limited eigenfunction in an elliptical region on the sphere is proposed for directional spatio-spectral analysis and its effectiveness is illustrated on the synthetic and Mars topographic data-sets. Finally, since such typical data-sets on the sphere are of considerable size and the directional SLSHT is intrinsically computationally demanding depending on the band-limits of the signal and window, a fast algorithm for the efficient computation of the transform is developed. The floating point precision numerical accuracy of the fast algorithm is demonstrated and a full numerical complexity analysis is presented.

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“…Deferred Shading Molecular dynamics data sets often consist of hundreds of thousands of glyphs and the rendering is prone to aliasing, which typically stems from strongly varying normals. Similar problems are known from pointbased rendering and are typically addressed using prefiltering [ZPvBG01] or by accumulating prefiltered input to the lighting computation [BSK04,HSRG07]. We do not prefilter normal information, but instead estimate normals on-the-fly from data in image-space.…”

Section: Deferredmentioning

confidence: 99%

Coherent Culling and Shading for Large Molecular Dynamics Visualization

Grottel

Reina

Dachsbacher

et al. 2010

Computer Graphics Forum

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Molecular dynamics simulations are a principal tool for studying molecular systems. Such simulations are used to investigate molecular structure, dynamics, and thermodynamical properties, as well as a replacement for, or complement to, costly and dangerous experiments. With the increasing availability of computational power the resulting data sets are becoming increasingly larger, and benchmarks indicate that the interactive visualization on desktop computers poses a challenge when rendering substantially more than millions of glyphs. Trading visual quality for rendering performance is a common approach when interactivity has to be guaranteed. In this paper we address both problems and present a method for high-quality visualization of massive molecular dynamics data sets. We employ several optimization strategies on different levels of granularity, such as data quantization, data caching in video memory, and a two-level occlusion culling strategy: coarse culling via hardware occlusion queries and a vertex-level culling using maximum depth mipmaps. To ensure optimal image quality we employ GPU raycasting and deferred shading with smooth normal vector generation. We demonstrate that our method allows us to interactively render data sets containing tens of millions of high-quality glyphs.

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Frequency domain normal map filtering

Cited by 87 publications

References 34 publications

Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets

Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets

Fast Directional Spatially Localized Spherical Harmonic Transform

Coherent Culling and Shading for Large Molecular Dynamics Visualization

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