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作者： Zhou Yi Rochester Institute of Technology Computer Graphics Design

学位级别：M.F.A.

aMajor Depressive Disorder MDD) is a growing mental health problem these days as it creates more social issues and creates problems for families and individuals. However, people still do not know enough about this mental disorder. The purpose of this short motion film is to provide people with a quick and effective introduction to MDD. This film explores a way to deliver essential information in a short amount of time and in a clear way for the audience to understand. It tells a story through the point-of-view of those who have friends or family members suffering from MDD. This story gives the audience key information viewers should know. The film also gives an empathy effect so information can be transferred quickly and efficiently to the ***-wise, the short motion film merges information design with motion graphics while combining 2D and 3D visual elements. In addition, the video gives a quick and efficient way to deliver information through a combination of video, animation, graphic design, and voice-over explanation.

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Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events

Spatially Perturbed Collision Sounds Attenuate Perceived Cau...

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IEEE Annual International Symposium Virtual Reality

作者： Duotun Wang James Kubrlcht Yixin Zhu Wei Lianq Song-Chun Zhu Chenfanfu Jiang Hongjing Lu Laboratory of Intelligent Information Technology Beijing Institute of Technology UCLA Computational Vision and Learning Laboratory Cognition Center for Vision Computer Graphics Group UPenn

ISBN: (纸本)9781538633663

When a moving object collides with an object at rest, people immediately perceive a causal event: i.e., the first object has launched the second object forwards. However, when the second object's motion is delayed, or is accompanied by a collision sound, causal impressions attenuate and strengthen. Despite a rich literature on causal perception, researchers have exclusively utilized 2D visual displays to examine the launching effect. It remains unclear whether people are equally sensitive to the spatiotemporal properties of observed collisions in the real world. The present study first examined whether previous findings in causal perception with audiovisual inputs can be extended to immersive 3D virtual environments. We then investigated whether perceived causality is influenced by variations in the spatial position of an auditory collision indicator. We found that people are able to localize sound positions based on auditory inputs in VR environments, and spatial discrepancy between the estimated position of the collision sound and the visually observed impact location attenuates perceived causality.

关键词： Three-dimensional displays Visualization Solid modeling Delays Spatiotemporal phenomena Virtual environments

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Effectiveness of the bag-of-Words approach on the object search problem in 3D domain 17

Effectiveness of the bag-of-Words approach on the object sea...

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33rd Spring Conference on computer graphics, SCCG 2017

作者： Privalov, Vladimir Beran, Vítezslav Smrž, Pavel Brno University of Technology Faculty of Information Technology Department of Computer Graphics and Multimedia Brno Czech Republic

ISBN: (纸本)9781450351072

In this work, we investigate the application of the Bag-of-Words approach for object search task in 3D domain. Image retrieval task solutions, operating on datasets of thousands and millions images, have proved the effectiveness of Bag-of-Words approach. The availability of low cost RGB-D cameras is a rise of large datasets of 3D data similar to image corpuses (e.g. RoboEarth). The results of such an investigation could be useful for many robot scenarios like place recognition from a large dataset of samples of places acquired during the long-term observation of an environment. The first goal of our research presented in this paper is focused on the sensitivity of the Bag-of-Words approach to various parameters (e.g. spacial sampling, surface description etc.) with respect to precision, stability and robustness. The experiments are carry out on two widely-used datasets in object instance identification task in 3D domain. © 2017 Copyright held by the owner/author(s).

关键词： Image retrieval

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A Virtual Hip Replacement Surgery Simulator with Realistic Haptic Feedback

A Virtual Hip Replacement Surgery Simulator with Realistic H...

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IEEE Annual International Symposium Virtual Reality

作者： Maximilian Kaluschke René Weller Gabriel Zachmann Luigi Pelliccia Mario Lorenz Philipp Klimant Sebastian Knopp Johannes P. G. Atze Falk Möckel University of Bremen Computer Graphics and Virtual Reality IWP Chemnitz University of Technology Fraunhofer Institute for Machine Tools and Forming Technology IWU FAKT Software

We present the first VR training simulator for hip replacement surgeries. We solved the main challenges of this task - high and stable forces during the milling process while simultaneously a very sensitive feedback is required - by using an industrial robot for the force output and the development of a novel massively parallel haptic rendering algorithm with support for material removal.

关键词： Haptic interfaces Surgery Hip Rendering (computer graphics) Training Milling Robots

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Data Descriptor: Computed tomography data collection of the complete human mandible and valid clinical ground truth models

arXiv

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arXiv 2019年

作者： Wallner, Jürgen Mischak, Irene Egger, Jan Department of Oral and Maxillofacial Surgery Medical University of Graz Auenbruggerplatz 5/1 Graz8036 Austria Computer Algorithms for Medicine Laboratory Graz Austria University Clinic of Dental Medicine and Oral Health Medical University of Graz Billrothgasse 4 Graz8010 Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16c/II Graz8010 Austria

Image-based algorithmic software segmentation is an increasingly important topic in many medical fields. Algorithmic segmentation is used for medical three-dimensional visualization, diagnosis or treatment support, especially in complex medical cases. However, accessible medical databases are limited, and valid medical ground truth databases for the evaluation of algorithms are rare and usually comprise only a few images. Inaccuracy or invalidity of medical ground truth data and image-based artefacts also limit the creation of such databases, which is especially relevant for CT data sets of the maxillomandibular complex. This contribution provides a unique and accessible data set of the complete mandible, including 20 valid ground truth segmentation models originating from 10 CT scans from clinical practice without artefacts or faulty slices. From each CT scan, two 3D ground truth models were created by clinical experts through independent manual slice-by-slice segmentation, and the models were statistically compared to prove their validity. These data could be used to conduct serial image studies of the human mandible, evaluating segmentation algorithms and developing adequate image tools. Copyright © 2019, The Authors. All rights reserved.

关键词： computerized tomography

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Rock glacier monitoring using aerial photographs: Conventional vs. UAV-based mapping - A comparative study

Rock glacier monitoring using aerial photographs: Convention...

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2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications

作者： Kaufmann, V. Seier, G. Sulzer, W. Wecht, M. Liu, Q. Lauk, G. Maurer, M. Institute of Geodesy Graz University of Technology Steyrergasse 30 Graz8010 Austria Department of Geography and Regional Science University of Graz Heinrichstraße 36 Graz8010 Austria Institute of Applied Geosciences Graz University of Technology Steyrergasse 30 Graz8010 Austria Institute of Computer Graphics and Vision Graz University of Technology Inffeldgasse 16/II Graz8010 Austria

Rock glaciers are creep phenomena of mountain permafrost. Typically, these landforms look like lava flows from a bird's eye view. Active rock glaciers move downslope with flow velocities in the range of few centimeters to several meters per year. Thus, large masses of rock and ice can be gradually transported down-valley. In this paper we present a comparative study analyzing surface change for Tschadinhorn rock glacier, a relatively fast moving rock glacier located in the Hohe Tauern Range of the Austrian Alps. Aerial photographs (1954-2017) of both metric (conventional) and non-metric (UAV-based) aerial surveys were compared to derive multi-annual to annual flow vector fields and surface height change. For each time interval given we computed a single representative value for flow velocity and, if applicable, also for area-wide surface height change, i.e. volume change. The velocity graph obtained represents the temporal evolution of the kinematics of the rock glacier with good discrimination. Volume change was difficult to quantify since temporal changes were rather small and close to insignificance. The precision and accuracy of the results obtained were numerically quantified. Our study showed that for the Tschadinhorn rock glacier UAV-based aerial surveys can substitute conventional aerial surveys as carried out by national mapping agencies, such as the Austrian Federal Office of Metrology and Surveying (BEV). Thus, UAV-based aerial surveys can help to bridge the data gap between regular aerial surveys. The high accuracy of the UAV-derived results would even allow intra-annual change detection of flow velocity. © Authors 2018. CC BY 4.0 License.

关键词： Unmanned aerial vehicles (UAV)

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Variational Deep Learning for Low-Dose Computed Tomography

Variational Deep Learning for Low-Dose Computed Tomography

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Erich Kobler Matthew Muckley Baiyu Chen Florian Knoll Kerstin Hammernik Thomas Pock Daniel Sodickson Ricardo Otazo Institute of Computer Graphics and Vision Graz University of Technology Austria Department of Radiology New York University School of Medicine USA

ISBN: (纸本)9781538646595

In this work, we propose a learning-based variational network (VN) approach for reconstruction of low-dose 3D computed tomography data. We focus on two methods to decrease the radiation dose: (1) x-ray tube current reduction, which reduces the signal-to-noise ratio, and (2) x-ray beam interruption, which undersamples data and results in images with aliasing artifacts. While the learned VN denoises the current-reduced images in the first case, it reconstructs the undersampled data in the second case. Different VNs for denoising and reconstruction are trained on a single clinical 3D abdominal data set. The VNs are compared against state-of-the-art model-based denoising and sparse reconstruction techniques on a different clinical abdominal 3D data set with 4-fold dose reduction. Our results suggest that the proposed VNs enable higher radiation dose reductions and/or increase the image quality for a given dose.

关键词： computed tomography medical imaging compressed sensing machine learning variational networks

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Variational 3D-PIV with sparse descriptors

arXiv

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arXiv 2018年

作者： Lasinger, Katrin Vogel, Christoph Pock, Thomas Schindler, Konrad Photogrammetry and Remote Sensing ETH Zurich Switzerland Institute of Computer Graphics & Vision TU Graz Austria Austrian Institute of Technology Austria

3D Particle Imaging Velocimetry (3D-PIV) aim to recover the flowfield in a volume of fluid, which has been seeded with tracer particles and observed from multiple camera viewpoints. The first step of 3D-PIV is to reconstruct the 3D locations of the tracer particles from synchronous views of the volume. We propose a new method for iterative particle reconstruction (IPR), in which the locations and intensities of all particles are inferred in one joint energy minimization. The energy function is designed to penalize deviations between the reconstructed 3D particles and the image evidence, while at the same time aiming for a sparse set of particles. We find that the new method, without any post-processing, achieves significantly cleaner particle volumes than a conventional, tomographic MART reconstruction, and can handle a wide range of particle densities. The second step of 3D-PIV is to then recover the dense motion field from two consecutive particle recon-structions. We propose a variational model, which makes it possible to directly include physical properties, such as incompressibility and viscosity, in the estimation of the motion field. To further exploit the sparse nature of the input data, we propose a novel, compact descriptor of the local particle layout. Hence, we avoid the memory-intensive storage of high-resolution intensity volumes. Our framework is generic and allows for a variety of different data costs (correlation measures) and regularizers. We quantitatively evaluate it with both the sum of squared differences (SSD) and the normalized cross-correlation (NCC), respectively with both a hard and a soft version of the incompressibility constraint. Copyright © 2018, The Authors. All rights reserved.

关键词： Iterative methods

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Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]

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Medical image analysis 2024年 96卷 103174页

作者： André Ferreira Jianning Li Kelsey L Pomykala Jens Kleesiek Victor Alves Jan Egger Institute for AI in Medicine (IKIM) University Hospital Essen University Duisburg-Essen Girardetstraße 2 Essen 45131 Germany Center Algoritmi/LASI University of Minho Braga 4710-057 Portugal Computer Algorithms for Medicine Laboratory Graz Austria Department of Oral and Maxillofacial Surgery University Hospital RWTH Aachen 52074 Aachen Germany Institute of Medical Informatics University Hospital RWTH Aachen 52074 Aachen Germany. Electronic address: id10656@alunos.uminho.pt. Cancer Research Center Cologne Essen (CCCE) University Medicine Essen Hufelandstraße 55 Essen 45147 Germany. Computer Algorithms for Medicine Laboratory Graz Austria. Cancer Research Center Cologne Essen (CCCE) University Medicine Essen Hufelandstraße 55 Essen 45147 Germany German Cancer Consortium (DKTK) Partner Site Essen Hufelandstraße 55 Essen 45147 Germany TU Dortmund University Department of Physics Otto-Hahn-Straße 4 44227 Dortmund Germany. Institute for AI in Medicine (IKIM) University Hospital Essen University Duisburg-Essen Girardetstraße 2 Essen 45131 Germany. Institute of Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 Graz 801 Austria.

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3D fluid flow estimation with integrated particle reconstruction

arXiv

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arXiv 2018年

The standard approach to densely reconstruct the motion in a volume of fluid is to inject high-contrast tracer particles and record their motion with multiple high-speed cameras. Almost all existing work processes the acquired multi-view video in two separate steps, utilizing either a pure Eulerian or pure Lagrangian approach. Eulerian methods perform a voxel-based reconstruction of particles per time step, followed by 3D motion estimation, with some form of dense matching between the precomputed voxel grids from different time steps. In this sequential procedure, the first step cannot use temporal consistency considerations to support the reconstruction, while the second step has no access to the original, high-resolution image data. Alternatively, Lagrangian methods reconstruct an explicit, sparse set of particles and track the individual particles over time. Physical constraints can only be incorporated in a post-processing step when interpolating the particle tracks to a dense motion field. We show, for the first time, how to jointly reconstruct both the individual tracer particles and a dense 3D fluid motion field from the image data, using an integrated energy minimization. Our hybrid Lagrangian/Eulerian model reconstructs individual particles, and at the same time recovers a dense 3D motion field in the entire domain. Making particles explicit greatly reduces the memory consumption and allows one to use the high-resolution input images for matching. Whereas the dense motion field makes it possible to include physical a-priori constraints and account for the incompressibility and viscosity of the fluid. The method exhibits greatly (≈ 70%) improved results over our recently published baseline with two separate steps for 3D reconstruction and motion estimation. Our results with only two time steps are comparable to those of state-of-the-art tracking-based methods that require much longer sequences. Copyright © 2018, The Authors. All rights reserved.

关键词： Lagrange multipliers

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