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LiteMaker: interactive luminaire development using progressive photon tracing and multi-resolution upsampling
Industrial applications like luminaire development (the creation of a luminaire in terms of geometry and material) or lighting design (the efficient and aesthetic placement of luminaires in a virtual scene) rely heavily on high realism and physically ...
Appearance bending: a perceptual editing paradigm for data-driven material models
Data-driven representations of material appearance play an important role in a wide range of applications. Unlike with analytical models, however, the intuitive and efficient editing of tabulated reflectance data is still an open problem. In this work, ...
Structure-aware stylization of mountainous terrains
We present a method for the stylization of mountainous terrains that allows creating abstract representations in different rendering styles. Our method consists of two major components: structure-aware terrain filtering and streamline-based hatching. ...
Visualization of cardiac blood flow using anisotropic ambient occlusion for lines
Ambient occlusion (AO) for lines (LineAO) was introduced by Eichelbaum et al. [EHS13] as an adaption of screen-space AO to static line bundles, such as white brain matter fiber tracts derived from diffusion tensor imaging (DTI). In this paper, we ...
Template-based 3D non-rigid shape estimation from monocular image sequences
This paper addresses the problem of reconstructing non-rigid 3D geometries from temporal image sequences captured with only a single camera under full perspective projection. Without the knowledge of a shape deformation model, this task is severly under-...
Data driven synthesis of hand grasps from 3-D object models
Modeling and predicting human hand grasping interactions is an active area of research in robotics, computer vision and computer graphics. We tackle the problem of predicting plausible hand grasps and the contact points given an input 3-D object model. ...
Dense and scalable reconstruction from unstructured videos with occlusions
Depth-map-based multi-view stereo algorithms typically recover textureless surfaces by assuming smoothness per view, so they require processing different views to solve occlusions. Moreover, the highly redundant viewpoints of videos make exhaustive ...
Visualization of neural network predictions for weather forecasting
Recurrent neural networks are prime candidates for learning relationships and evolutions in multi-dimensional time series data. The performance of such a network is judged by the loss function, which is aggregated into a single scalar value that ...
Improving layout quality by mixing treemap-layouts based on data-change characteristics
This paper presents a hybrid treemap layout approach that optimizes layout-quality metrics by combining state-of-the-art treemap layout algorithms. It utilizes machine learning to predict those metrics based on data metrics describing the ...
User-study based optimization of fast and accurate Mahalanobis brushing in scatterplots
Brushing is at the heart of most modern visual analytics solutions with coordinated, multiple views and effective brushing is crucial for swift and efficient processes in data exploration and analysis. Given a certain data subset that the user wishes to ...
Temporal focus+context for clusters in particle data
Time-dependent particle-based simulations are typically carried out by direct calculation of interactions between particles over time. The investigation of higher order effects of particle clusters helps understanding the system's dynamic. Existing ...
Finite time steady vector field topology: theoretical foundation and 3D case
Vector Field Topology is the standard approach for the analysis of asymptotic particle behavior in a vector field flow: A topological skeleton is separating the flow into regions by the movement of massless particles for an integration time converging ...
Interactive visualization of gaps and overlaps for large and dynamic sphere packings
To gain insight into many properties of granular matter, a particle packing can be simulated. For a dry particle mixture, collective rearrangement is often used as an iterative process to place the particles. In this paper, we present a new ...
Compression of non-manifold polygonal meshes revisited
Polygonal meshes are used in various fields ranging from CAD to gaming and web based applications. Reducing the size required for storing and transmitting these meshes by taking advantage of redundancies is an important aspect in all of these cases. In ...
Efficient lifted relaxations of the quadratic assignment problem
Quadratic assignment problems (QAPs) and quadratic assignment matchings (QAMs) recently gained a lot of interest in computer graphics and vision, e.g. for shape and graph matching. Literature describes several convex relaxations to approximate solutions ...
C++ compile time polymorphism for ray tracing
Reducing the amount of conditional branching instructions in innermost loops is crucial for high performance code on contemporary hardware architectures. In the context of ray tracing algorithms, typical examples for branching in inner loops are the ...
Pixel cache light tracing
In this paper, we introduce Pixel Cache Light Tracing, which is a new low-noise combination of eye-path and light-path tracing. In the first pass, eye-path vertices are distributed from the observer and stored in a hit point map analogous to progressive ...
Star convex cuts with encoding swaps for fast whole-spine vertebra segmentation in MRI
We propose an automatic approach for fast vertebral body segmentation in three-dimensional magnetic resonance images of the whole spine. Previous works are limited to the lower thoracolumbar section and often take minutes to compute, which can be ...
Semantic-aware image smoothing
Structure-preserving image smoothing aims to extract semantically meaningful image structure from texture, which is one of the fundamental problems in computer vision and graphics. However, it is still not clear how to define this concept. On the other ...
Improved image classification using topological persistence
Image classification has been a topic of interest for many years. With the advent of Deep Learning, impressive progress has been made on the task, resulting in quite accurate classification. Our work focuses on improving modern image classification ...