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ACM Transactions on Graphics (TOG), Volume 37 Issue 2, July 2018

Stable Neo-Hookean Flesh Simulation
Breannan Smith, Fernando De Goes, Theodore Kim
Article No.: 12
DOI: 10.1145/3180491

Nonlinear hyperelastic energies play a key role in capturing the fleshy appearance of virtual characters. Real-world, volume-preserving biological tissues have Poisson’s ratios near 1/2, but numerical simulation within this regime is...

What Are Optimal Coding Functions for Time-of-Flight Imaging?
Mohit Gupta, Andreas Velten, Shree K. Nayar, Eric Breitbach
Article No.: 13
DOI: 10.1145/3152155

The depth resolution achieved by a continuous wave time-of-flight (C-ToF) imaging system is determined by the coding (modulation and demodulation) functions that it uses. Almost all current C-ToF systems use sinusoid or square coding functions,...

Pressure Boundaries for Implicit Incompressible SPH
Stefan Band, Christoph Gissler, Markus Ihmsen, Jens Cornelis, Andreas Peer, Matthias Teschner
Article No.: 14
DOI: 10.1145/3180486

Implicit incompressible SPH (IISPH) solves a pressure Poisson equation (PPE). While the solution of the PPE provides pressure at fluid samples, the embedded boundary handling does not compute pressure at boundary samples. Instead, IISPH uses...

FontCode: Embedding Information in Text Documents Using Glyph Perturbation
Chang Xiao, Cheng Zhang, Changxi Zheng
Article No.: 15
DOI: 10.1145/3152823

We introduce FontCode, an information embedding technique for text documents. Provided a text document with specific fonts, our method embeds user-specified information in the text by perturbing the glyphs of text characters while...

Discrete Geodesic Nets for Modeling Developable Surfaces
Michael Rabinovich, Tim Hoffmann, Olga Sorkine-Hornung
Article No.: 16
DOI: 10.1145/3180494

We present a discrete theory for modeling developable surfaces as quadrilateral meshes satisfying simple angle constraints. The basis of our model is a lesser-known characterization of developable surfaces as manifolds that can be parameterized...

Precomputed Panel Solver for Aerodynamics Simulation
Haoran Xie, Takeo Igarashi, Kazunori Miyata
Article No.: 17
DOI: 10.1145/3185767

In this article, we introduce an efficient and versatile numerical aerodynamics model for general three-dimensional geometry shapes in potential flow. The proposed model has low computational cost and achieves an accuracy of moderate fidelity for...

Modeling n-Symmetry Vector Fields using Higher-Order Energies
Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt
Article No.: 18
DOI: 10.1145/3177750

We introduce a variational approach for modeling n-symmetry vector and direction fields on surfaces that supports interpolation and alignment constraints, placing singularities and local editing, while providing real-time responses. The...

Integrating Clipped Spherical Harmonics Expansions
Laurent Belcour, Guofu Xie, Christophe Hery, Mark Meyer, Wojciech Jarosz, Derek Nowrouzezahrai
Article No.: 19
DOI: 10.1145/3015459

Many applications in rendering rely on integrating functions over spherical polygons. We present a new numerical solution for computing the integral of spherical harmonics (SH) expansions clipped to polygonal domains. Our solution, based on zonal...

Second-Order Occlusion-Aware Volumetric Radiance Caching
Julio Marco, Adrian Jarabo, Wojciech Jarosz, Diego Gutierrez
Article No.: 20
DOI: 10.1145/3185225

We present a second-order gradient analysis of light transport in participating media and use this to develop an improved radiance caching algorithm for volumetric light transport. We adaptively sample and interpolate radiance from sparse points...

Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines
Fenggen Yu, Yan Zhang*, Kai Xu, Ali Mahdavi-Amiri, Hao Zhang
Article No.: 21
DOI: 10.1145/3182158

We present a semi-supervised co-analysis method for learning 3D shape styles from projected feature lines, achieving style patch localization with only weak supervision. Given a collection of 3D shapes spanning multiple object...

Spoke-Darts for High-Dimensional Blue-Noise Sampling
Scott A. Mitchell, Mohamed S. Ebeida, Muhammad A. Awad, Chonhyon Park, Anjul Patney, Ahmad A. Rushdi, Laura P. Swiler, Dinesh Manocha, Li-Yi Wei
Article No.: 22
DOI: 10.1145/3194657

Blue noise sampling has proved useful for many graphics applications, but remains underexplored in high-dimensional spaces due to the difficulty of generating distributions and proving properties about them. We present a blue noise sampling method...

Natural Boundary Conditions for Smoothing in Geometry Processing
Oded Stein, Eitan Grinspun, Max Wardetzky, Alec Jacobson
Article No.: 23
DOI: 10.1145/3186564

In geometry processing, smoothness energies are commonly used to model scattered data interpolation, dense data denoising, and regularization during shape optimization. The squared Laplacian energy is a popular choice of energy and has a...

Automatically Distributing Eulerian and Hybrid Fluid Simulations in the Cloud
Omid Mashayekhi, Chinmayee Shah, Hang Qu, Andrew Lim, Philip Levis
Article No.: 24
DOI: 10.1145/3173551

Distributing a simulation across many machines can drastically speed up computations and increase detail. The computing cloud provides tremendous computing resources, but weak service guarantees force programs to manage significant system...

FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality
Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner
Article No.: 25
DOI: 10.1145/3182644

We propose FaceVR, a novel image-based method that enables video teleconferencing in VR based on self-reenactment. State-of-the-art face tracking methods in the VR context are focused on the animation of rigged 3D avatars (Li et al. 2015;...

Exposure: A White-Box Photo Post-Processing Framework
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
Article No.: 26
DOI: 10.1145/3181974

Retouching can significantly elevate the visual appeal of photos, but many casual photographers lack the expertise to do this well. To address this problem, previous works have proposed automatic retouching systems based on supervised learning...

MonoPerfCap: Human Performance Capture From Monocular Video
Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Dushyant Mehta, Hans-Peter Seidel, Christian Theobalt
Article No.: 27
DOI: 10.1145/3181973

We present the first marker-less approach for temporally coherent 3D performance capture of a human with general clothing from monocular video. Our approach reconstructs articulated human skeleton motion as well as medium-scale non-rigid surface...