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International Conference on Pattern Recognition

作者： Michael Donoser Martin Hirzer Dieter Schmalstieg Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9781479952106

We propose a novel multiple model fitting method based on outlier insensitive evolutionary dynamics, fulfilling several important requirements. Our method automatically identifies a unspecified number of models and is robust to noise and outliers in the data. Furthermore, we are able to handle overlapping models, by allowing that data points are assigned to more than one model. This is implicitly handled during model fitting and not as a post-processing step. Gross outliers are directly identified, by letting some points unassigned. We also introduce a technique, considering nearest neighbor analysis, to significantly reduce computation time, while maintaining model fitting accuracy. We show experiments on real-world and synthetic data, achieving accurate model fitting results also demonstrating an application of plane fitting on a consumer hardware providing RGB-D video streams.

关键词： Data models Computational modeling Mathematical model Robustness Analytical models Vectors Adaptation models

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Improving Sparse 3D Models for Man-Made Environments Using Line-Based 3D Reconstruction

Improving Sparse 3D Models for Man-Made Environments Using L...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Manuel Hofer Michael Maurer Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria

Traditional Structure-from-Motion (SfM) approaches work well for richly textured scenes with a high number of distinctive feature points. Since man-made environments often contain texture less objects, the resulting point cloud suffers from a low density in corresponding scene parts. The missing 3D information heavily affects all kinds of subsequent post-processing tasks (e.g. Meshing), and significantly decreases the visual appearance of the resulting 3D model. We propose a novel 3D reconstruction approach, which uses the output of conventional SfM pipelines to generate additional complementary 3D information, by exploiting line segments. We use appearance-less epipolar guided line matching to create a potentially large set of 3D line hypotheses, which are then verified using a global graph clustering procedure. We show that our proposed method outperforms the current state-of-the-art in terms of runtime and accuracy, as well as visual appearance of the resulting reconstructions.

关键词： Three-dimensional displays Image segmentation Cameras Image reconstruction Solid modeling Runtime Computational modeling

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Accurate Object Detection with Joint Classification-Regression Random Forests

Accurate Object Detection with Joint Classification-Regressi...

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IEEE Conference on computer Vision and Pattern Recognition

作者： Samuel Schulter Christian Leistner Paul Wohlhart Peter M. Roth Horst Bischof Graz University of Technology Institute for Computer Graphics and Vision Microsoft Photogrammetry

ISBN: (纸本)9781479951192

In this paper, we present a novel object detection approach that is capable of regressing the aspect ratio of objects. This results in accurately predicted bounding boxes having high overlap with the ground truth. In contrast to most recent works, we employ a Random Forest for learning a template-based model but exploit the nature of this learning algorithm to predict arbitrary output spaces. In this way, we can simultaneously predict the object probability of a window in a sliding window approach as well as regress its aspect ratio with a single model. Furthermore, we also exploit the additional information of the aspect ratio during the training of the Joint Classification-Regression Random Forest, resulting in better detection models. Our experiments demonstrate several benefits: (i) Our approach gives competitive results on standard detection benchmarks. (ii) The additional aspect ratio regression delivers more accurate bounding boxes than standard object detection approaches in terms of overlap with ground truth, especially when tightening the evaluation criterion. (iii) The detector itself becomes better by only including the aspect ratio information during training.

关键词： Training Vegetation Standards Object detection Detectors Training data Predictive models

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Client-side mobile visual search

Client-side mobile visual search

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International Conference on computer Vision Theory and Applications (VISAPP)

作者： Andreas Hartl Dieter Schmalstieg Gerhard Reitmayr Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

ISBN: (纸本)9781479976867

Visual search systems present a simple way to obtain information about our surroundings, our location or an object of interest. Typically, mobile applications of visual search remotely connect to large-scale systems capable of dealing with millions of images. Querying such systems may induce considerable delays, which can severeley harm usability or even lead to complete rejection by the user. In this paper, we investigate an interim solution and system design using a local visual search system for embedded devices. We optimized a traditional visual search system to decrease runtime and also storage space in order to scale to thousands of training images on current off-the-shelf smartphones. We demonstrate practical applicability in a prototype for mobile visual search on the same target platform. Compared with the unmodified version of the pipeline we achieve up to a two-fold speed-up in runtime, save 85% of storage space and provide substantially increased recognition performance. In addition, we integrate the pipeline with a popular Augmented Reality SDK on Android devices and use it as a pre-selector for tracking datasets. This allows to instantly use a large number of tracking targets without requiring user intervention or costly server-side recognition.

关键词： Pipelines Visualization Runtime Mobile communication Vocabulary Mobile handsets Performance evaluation

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Do students like the flipped classroom? An investigation of student reaction to a flipped undergraduate IT course

Do students like the flipped classroom? An investigation of ...

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Frontiers in Education (FIE) Conference

作者： Rob Elliott Department of Computer Information and Graphics Technology Purdue School of Engineering and Technology Indianapolis IN USA

The flipped classroom pedagogy has achieved significant mention in academic circles in recent years. "Flipping" involves the reinvention of a traditional course so that students engage with learning materials via recorded lectures and interactive exercises prior to attending class and then use class time for more interactive activities. Proper implementation of a flipped classroom is difficult to gauge, but combines successful techniques for distance education with constructivist learning theory in the classroom. While flipped classrooms are not a novel concept, technological advances and increased comfort with distance learning have made the tools to produce and consume course materials more pervasive. Flipped classroom experiments have had both positive and less-positive results and are generally measured by a significant improvement in learning outcomes. This study, however, analyzes the opinions of students in a flipped sophomore-level information technology course by using a combination of surveys and reflective statements. The author demonstrates that at the outset students are new - and somewhat receptive - to the concept of the flipped classroom. By the conclusion of the course satisfaction with the pedagogy is significant. Finally, student feedback is provided in an effort to inform instructors in the development of their own flipped classrooms.

关键词： Materials Schedules Collaboration computers System analysis and design Educational institutions

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Visual exploration of simulated and measured blood flow

Mathematics and Visualization

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Mathematics and Visualization 2014年 37卷 305-324页

作者： Vilanova, A. Preim, Bernhard van Pelt, Roy Gasteiger, Rocco Neugebauer, Mathias Wischgoll, Thomas Computer Graphics and Visualization EEMCS - Delft University of Technology 270 Building 36 - Mekelweg 4 2628 CD Delft Postbox 5 Delft2600 AA Netherlands Institut Für Simulation Und Graphik Otto-von-Guericke-Universität Magdeburg Magdeburg Germany Computer Science and Engineering Wright State University Dayton United States

Morphology of cardiovascular tissue is influenced by the unsteady behavior of the blood flow and vice versa. Therefore, the pathogenesis of several cardiovascular diseases is directly affected by the blood-flow dynamics. Understanding flow behavior is of vital importance to understand the cardiovascular system and potentially harbors a considerable value for both diagnosis and risk assessment. The analysis of hemodynamic characteristics involves qualitative and quantitative inspection of the blood-flow field. Visualization plays an important role in the qualitative exploration, as well as the definition of relevant quantitative measures and its validation. There are two main approaches to obtain information about the blood flow: simulation by computational fluid dynamics, and in-vivo measurements. Although research on blood flow simulation has been performed for decades, many open problems remain concerning accuracy and patient-specific solutions. Possibilities for real measurement of blood flow have recently increased considerably by new developments inmagnetic resonance imaging which enable the acquisition of 3Dquantitative measurements of blood-flow velocity fields. This chapter presents the visualization challenges for both simulation and real measurements of unsteady blood-flow fields. © Springer-Verlag London 2014.

关键词： Flow fields

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Single breathhold, three-dimensional measurement of left atrial volume and function using sparse CINE CMR imaging with iterative reconstruction

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Journal of Cardiovascular Magnetic Resonance 2015年第SUPPL 1期17卷 Q35-Q35页

作者： Pierre Monney Orestis Vardoulis Davide Piccini Amit Bermano Amir Vaxman Craig Gotsman Janine Schwitter Michael O Zenge Michaela Schmidt Mariappan S Nadar Matthias Stuber Nikolaos Stergiopulos Juerg Schwitter Center for Cardiac Magnetic Resonance Cardiology University Hospital Lausanne (CHUV) Lausanne Switzerland Laboratory of Hemodynamics and Cardiovascular Technology Swiss Federal Institute of Technology Lausanne Switzerland Center for Biomedical Imaging (CIBM) University of Lausanne Lausanne Switzerland Advanced Clinical Imaging Technology Siemens Healthcare Lausanne Switzerland Center for Graphics and Geometric Computing Technion Haifa Israel Geometric Modelling and Industrial Geometry Vienna University of Technology Vienna Austria University of Fribourg Fribourg Switzerland Healthcare sector Siemens AG Erlangen Germany Imaging and Computer Vision Siemens Corporation Princeton NJ USA Radiology University Hospital Lausanne Lausanne Switzerland

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Riemann-finsler multi-valued geodesic tractography for HARDI 4th

Riemann-finsler multi-valued geodesic tractography for HARDI

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4th Meeting on Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2011

作者： Sepasian, Neda Ten Thije Boonkkamp, Jan H. M. Florack, Luc M. J. Ter Haar Romeny, Bart M. Vilanova, Anna Department of Biomedical Engineering Mathematics and Computer Science Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands Mathematics and Computer Science Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands Department of Biomedical Engineering Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands Faculty Electrical Engineering Mathematics and Computer Science Computer Graphics and Visualization Delft University of Technology Delft Netherlands

ISBN: (纸本)9783642543005

We introduce a geodesic based tractography method for High Angular Resolution Diffusion Imaging (HARDI). The concepts used are similar to the ones in geodesic based tractography for Diffusion Tensor Imaging (DTI). In DTI, the inverse of the second-order diffusion tensor is used to define the manifold where the geodesics are traced. HARDI models have been developed to resolve complex fiber populations within a voxel, and higher order tensors (HOT) are possible representations for HARDI data. In our framework, we apply Finsler geometry, which extends Riemannian geometry to a directionally dependent metric. A Finsler metric is defined in terms of HARDI higher order tensors. Furthermore, the Euler-Lagrange geodesic equations are derived based on the Finsler geometry. In contrast to other geodesic based tractography algorithms, the multi-valued numerical solution of the geodesic equations can be obtained. This gives the possibility to capture all geodesics arriving at a single voxel instead of only computing the shortest one. Results are analyzed to show the potential and characteristics of our algorithm. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Diffusion tensor imaging

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Scripted animation towards scalable content creation for elearning—a quality analysis 1

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1st International Conference on e-Learning, e-Education and Online Training, eLEOT 2014

作者： Adamo-Villani, Nicoletta Cui, Jian Popescu, Voicu Department of Computer Graphics Technology Purdue University 401 N. Grant Street West LafayetteIN47907 United States Department of Computer Science Purdue University 305 N. University Street West LafayetteIN47907 United States

ISBN: (数字)9783319132938

ISBN: (纸本)9783319132921

The success of eLearning depends on the broad availability of educational materials that provide a high-quality delivery of high-quality content. One approach for high-quality delivery is to rely on a computer animated instructor avatar that not only speaks, but that also gestures to elucidate novel concepts and to convey an engaging personality that captures and maintains the learners’ focus. The traditional approach of manual key frame animation does not scale, as it requires a substantial time investment as well as artistic talent. We have developed a system that allows animating an instructor avatar quickly and without the prerequisite of artistic talent through a text script. In this paper we quantify the speed/quality tradeoff made by our scripted animation by comparison to manual animation. © Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2014.

关键词： Animation

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Fluency of visualizations: linking spatiotemporal visualizations to improve cybersecurity visual analytics

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Security Informatics 2014年第1期3卷 1-15页

作者： Qian, Zhenyu Cheryl Chen, Yingjie Victor Interaction Design Purdue University West Lafayette USA Computer Graphics Technology Purdue University West Lafayette USA

This paper adopts the metaphor of representational fluency and proposes an auto linking approach to help analysts investigate details of suspicious sections across different cybersecurity visualizations. Analysis of spatiotemporal network security data takes place both conditionally and in sequence. Many visual analytics systems use time series curves to visualize the data from the temporal perspective and maps to show the spatial information. To identify anomalies, the analysts frequently shift across different visualizations and the original data view. We consider them as various representations of the same data and aim to enhance the fluency of navigation across these representations. With the auto linking mechanism, after the analyst selects a segment of a curve, the system can automatically highlight the related area on the map for further investigation, and the selections on the map or the data views can also trigger the related time series curves. This approach adopts the slicing operation of the Online Analytical Process (OLAP) to find the basic granularities that contribute to the overall value change. We implemented this approach in an award-winning visual analytics system, SemanticPrism, and demonstrate the functions through two use cases.

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