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18th international conference on Universal Access in Human-computer Interaction (UAHCI) Held as Part of the 26th international conference on Human-computer Interaction (HCII)

作者： Zubairi, Amaan Aldossary, Dalal Maar, Aliaa Al-Wabil, Areej Alfaisal Univ Software Engn Dept Riyadh Saudi Arabia Alfaisal Univ Human Comp Interact HCI Lab Riyadh Saudi Arabia Penn State Univ University Pk PA USA

ISBN: (纸本)9783031608834;9783031608841

The accessibility of digital content is an important aspect in the lives of individuals who are blind, as the visualization of graphs and symbolic images in software user interfaces creates an informational barrier between a person with a visual impairment and digital content. Technology solutions have shown promise for individuals with partial or total visual impairment in augmenting human abilities to access visual imagery via sound or tactile alternatives. In this project, we outline the design methodology for creating assistive technologies that translate visual imagery into tangible forms. The feasibility of this approach relies on successful mapping of pixelated images to tangible interfaces. One of the main challenges with existing tactile technologies is the high cost, which makes them inaccessible to a significant percentage of people with visual impairments. Our design aims to develop a tactile tablet at a reduced cost by co-creating the solution with people who have the lived experience of having a visual impairment and via utilizing localized supply chains and production facilities. Additionally, our team adopted a co-design methodology, wherein the designer works closely with the potential user through a feedback loop to refine the design to meet the user's requirements iteratively. Co-design was chosen primarily due to the unique experiences of people with visual impairments and the reported gap in user engagement in the context of designing and developing assistive technology.

关键词： Assistive technology Co-design Prototyping Tactile graphics Engineering Design methodology Mechatronics

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Development of Training Systems using Spatial Augmented Hand

Development of Training Systems using Spatial Augmented Hand

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30th IEEE conference Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Taninaka, Isabella Mika Iwai, Daisuke Sato, Kosuke Punpongsanon, Parinya Osaka Univ Suita Osaka Japan

ISBN: (纸本)9798350348392

Training to execute procedural tasks is often a burden for novice workers. Different systems have been developed to improve users' experience and, consequentially, their performance at a task. However, systems for tasks requiring hand operation lack fine details regarding a specialist choice of hand movements or positions. This study proposes a projection-based hand visualization system that guides the user's physical hand through a task.

关键词： Computing methodologies computer graphics graphics systems and interfaces Mixed / augmented reality

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Genetic Subdivision Curve and Surface Reconstruction 32

Genetic Subdivision Curve and Surface Reconstruction

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32nd international conference in Central Europe on computer graphics, visualization and computer Vision, WSCG 2024

作者： Komar, Alexander Riegler, Marco Preiner, Reinhold Augsdörfer, Ursula Institute of Computer Graphics and Knowledge Visualisation Graz University of Technology Austria

In this paper we employ a new genetic algorithm approach for CAD shape reconstruction, where a mathematical shape representation is reconstructed from point data. We reconstruct planar subdivision curves and 3D subdivision meshes from ordered input point data by fitting the corresponding subdivision control polygon or control mesh respectively, from which the smooth subdivision limit surfaces can be derived. For the reconstruction of curves the system estimates the number and position of control points required to approximate the curve closely. To reconstruct subdivision surfaces from points, the system determines a sequence of CAD operations which is subject to mutation in the course of a genetic optimization. We discuss implementation details of the proposed genetic algorithms and demonstrate our approach on a number of example data. © 2024 University of West Bohemia. All rights reserved.

关键词： Mesh generation

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A Practical Study on computer-Aided Drawing in Bionic Product Drawing Design 2

A Practical Study on Computer-Aided Drawing in Bionic Produc...

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2nd international conference on computer graphics and Image Processing, CGIP 2024

作者： Cai-Wei, Ho Che, Huang-Yu Chung-Shun, Feng Chao Yang University of Technology Department of Industrial Design Taichung City Taiwan

ISBN: (纸本)9798350374186

Different design requirements lead to the adoption of various approaches in computer-aided drawing, impacting the visualization, synthesis, drawing, and output ofmaterials. This study aligns with the requirements of biomimicry, aiming to achieve realistic effects in product surface texture, structure, and motion. computer-aided drawing and computer-aided design offer numerous benefits for product design, including physical representation and testing, time and cost savings, customization and variability, design communication, and dealing with complexity. Overall, computer-aided design introduces a more efficient, accurate, and innovative product development method, enhancing the efficiency and quality of the entire process. This research focuses on how computer-aided drawing addresses the challenges of biomimetic drawing design in terms of drawing techniques, technical issues, and the realistic effects of product surface texture. This involves an understanding of biological structural and functional principles. The advantages of computer-aided design in biomimetic design contribute to increased efficiency and better results. The study provides rich drawing methods for biomimetic design using computer-aided drawing, offering various presentation approaches. In summary, through a real design drawing practice, this research demonstrates the potential advantages of fully utilizing computer-aided drawing technology, enhancing the realistic effects of biomimetic design drawing processes and providing a reference for future relevant drawing designs. © 2024 IEEE.

关键词： Product design

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computer-Based Modeling of Field-Managed Percolation in 3D Arrangements of Linear Nanotubes 42

Computer-Based Modeling of Field-Managed Percolation in 3D A...

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42nd international conference on Electronics and Nanotechnology

作者： Zhydenko, Illia Chalyy, Dmytro Karbovnyk, Ivan Klym, Halyna Lviv State Univ Life Safety Lvov Ukraine Lviv Polytech Natl Univ Lvov Ukraine Ivan Franko Natl Univ Lviv Radiophys & Comp Technol Dept Lvov Ukraine Lviv Polytech Natl Univ Specialized Comp Syst Dept Lvov Ukraine

ISBN: (纸本)9798350368185;9798350368178

The investigation focused on the phenomenon of percolation within a system of straight nanotubes, with the development of an adapted model to characterize this process. A computational algorithm was devised to ascertain the percolation probability of nanotubes, utilizing tools for 3D graphics visualization. The study delved into the impact of geometric dimensions and nanotube concentration on the percolation probability. The research explored the correlation between percolation probability and the dispersion angle, which determines the orientation of nanotubes. By analyzing this relationship, fundamental patterns emerged in the formation of conductive clusters under the influence of an electric field. This analysis facilitated the identification of optimal parameters for a nanotube system capable of demonstrating field-controlled percolation.

关键词： nanotubes nanocomposites percolation modelling

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Escaping Flatland: graphics, Dimensionality, and Human Perception

Escaping Flatland: Graphics, Dimensionality, and Human Perce...

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conference on Human Interface and the Management of Information Thematic Area (HIMI) Held as Part of the 26th international conference on Human-computer Interaction (HCII)

作者： Vanderplas, Susan Blankenship, Erin Wiederich, Tyler Univ Nebraska Stat Dept 340 Hardin Hall North Wing3310 Holdrege St Lincoln NE 68503 USA

ISBN: (纸本)9783031601132;9783031601149

Almost 40 years ago, Cleveland and McGill published the first of 3 papers detailing experiments assessing the accuracy of numerical perception using different types of charts. This study is often cited as a reason to avoid the use of extraneous dimensions in data visualization: 2D bar charts produced more accurate estimates than 3D bar charts;in addition, lines (length) produced more accurate estimates than circles (area). graphics have changed fairly significantly in the last 40 years: where we once had fixed 3D perspective charts, we now can rotate 3D renderings in digital space and even 3D print our charts to examine physically. Many optical illusions result from perceptual mismatches of 3D visual heuristics and 2D, planar, data representations;more realistic renderings available with modern tools might change the outcome of Cleveland and McGill's experimental comparison of 2D vs. 3D accuracy. In this paper, we present several experiments which replicate the bar chart portion of Cleveland and McGill's original study, comparing 2D, 3D fixed perspective, 3D rendered, and 3D printed charts. We discuss the findings and the importance of replicating classic experiments using modern technology, as well as the benefits of incorporating hands-on research in introductory classes as experiential learning activities.

关键词： teaching graphics user-study perception accuracy

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Coherent Topological Landscapes for Simulation Ensembles 1

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15th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 15th international conference on computer Vision Theory and Applications (VISAPP)

作者： Evers, Marina Herick, Maria Molchanov, Vladimir Linsen, Lars Westfalische Wilhelms Univ Munster Dept Math & Comp Sci Einsteinstr 62 D-48149 Munster Germany

ISBN: (数字)9783030948931

ISBN: (纸本)9783030948931;9783030948924

The topological structure is an intrinsic feature of a scalar field of any spatial dimensionality. The dependence of the topology on the isovalue of the field can be represented in the form of merge and split trees, which are usually combined to a contour tree. Topological landscapes are algorithmically constructed 2D scalar fields, which have the same topological structure (and, therefore, correspond to the same contour tree) as the given multidimensional scalar field and serve as an intuitive low-dimensional depiction of its topological features. Topological landscapes computed for a set of scalar fields, e.g., created by varying over time or by varying simulation parameter values in a simulation ensemble, are not necessarily coherent among themselves. Therefore, a comparative analysis of topology in an ensemble is hindered. We propose a concept for the generation of coherent contour trees for simulation ensembles that is based on merging contour trees of all scalar fields of the ensemble. The coherent contour tree can be exploited to generate coherent topological landscapes. Visual analysis of varying scalar field topology is, then, supported by animating landscapes or by volume rendering of a stack of temporal slices representing color-coded landscapes. We apply the proposed methodology to synthetic data for evaluation purposes as well as to 2D and 3D simulation ensemble data.

关键词： Topological landscape Ensemble visualization Scalar field visualization

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The Impact of Occlusion on Depth Perception at Arm's Length

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IEEE TRANSACTIONS ON visualization AND computer graphics 2023年第11期29卷 4494-4502页

作者： Fischer, Marc Rosenberg, Jarrett Leuze, Christoph Hargreaves, Brian Daniel, Bruce Stanford Univ Radiol Stanford CA 94305 USA Stanford Univ Stanford CA USA

This paper investigates the accuracy of Augmented Reality (AR) technologies, particularly commercially available optical see-through displays, in depicting virtual content inside the human body for surgical planning. Their inherent limitations result in inaccuracies in perceived object positioning. We examine how occlusion, specifically with opaque surfaces, affects perceived depth of virtual objects at arm's length working distances. A custom apparatus with a half-silvered mirror was developed, providing accurate depth cues excluding occlusion, differing from commercial displays. We carried out a study, contrasting our apparatus with a HoloLens 2, involving a depth estimation task under varied surface complexities and illuminations. In addition, we explored the effects of creating a virtual "hole" in the surface. Subjects' depth estimation accuracy and confidence were a ssessed. Results showed more depth estimation variation with HoloLens and significant depth error beneath complex occluding surfaces. However, creating a virtual hole significantly reduced depth errors and increased subjects' confidence, irrespective of accuracy enhancement. These findings have important implications for the design and use of mixed-reality technologies in surgical applications, and industrial applications such as using virtual content to guide maintenance or repair of components hidden beneath the opaque outer surface of equipment. A free copy of this paper and all supplemental materials are available at https://***/3YbkwjU.

关键词： Extended reality AR augmented reality mixed reality hybrid-AR spatial AR depth perception arms-length interaction near-field distance perceptual accuracy perceptual matching egocentric depth alignment depth estimation visualization techniques occlusion accommodation vergence HoloLens optical-see-through HMD x-ray vision

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A comprehensive Analysis on Diagnosis of Pneumothorax Disease Using Convolutional Neural Network and Data visualization for Detection 5

A comprehensive Analysis on Diagnosis of Pneumothorax Diseas...

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5th international conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Choudhary, Ritika Kaur, Narinder Goel, Paurav Chandigarh University Computer Science & Engineering Gharuan Mohali India

ISBN: (纸本)9798350367171

This research paper explores the use of data visualization techniques to analyze a dataset related to pneumothorax, a medical condition characterized by air in the pleural cavity. The dataset consists of medical images in DICOM format, with labels indicating the presence or absence of pneumothorax. The study preprocesses the data, handles missing values, and explores key attributes such as patient demographics, imaging modalities, and view positions. visualizations are created to illustrate the distribution of patients' age, gender, and imaging characteristics. The occurrence of pneumothorax across different view positions is analyzed. The findings highlight the effectiveness of data visualization in gaining insights into complex medical datasets, aiding in clinical decision-making and research efforts related to pneumothorax diagnosis and treatment. The paper also provides an overview of convolutional neural network (CNN) models used in pneumothorax detection, discussing various architectures, their application in medical imaging data, and their evolution over time. The insights gained from this analysis contribute to understanding the effectiveness of CNNs in pneumothorax detection and their potential impact on clinical practice and healthcare outcomes. © 2024 IEEE.

关键词： Convolutional neural networks

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Automatic Dental Arch Detection and Panoramic imaging from Cone Beam Computed Tomography Dataset 15

Automatic Dental Arch Detection and Panoramic Imaging from C...

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15th international conference on graphics and Image Processing, ICGIP 2023

作者： Jiang, Benxiang Zhang, Songze Shi, Mengyao Shi, Hongjian Beijing Normal University Hong Kong Baptist University United International College China

ISBN: (纸本)9781510675018

Panoramic imaging from the cone beam computed tomography (CBCT) dataset mimics the X-ray beam shooting along a dental arch which represents the teeth and jaw bones. This study aims to propose a novel dental arch detection algorithm in three-dimensional (3D) CBCT space based on the parametric equation to reconstruct panoramic images with clear visualization of jaw bones, teeth, and dental pulps. Our method involves two main steps: dental arch detection and panoramic imaging. The first step detects the dental arch using a parametric equation on a specially found plane in 3D CBCT space. Binary masks of jaw bones and teeth are required to fit the parametric equation. We employ deep learning techniques for tooth segmentation and a traditional method for jaw bone segmentation. In the second step, the maximal intensity projection and ray sum projection are applied for panoramic imaging. In experiments, a total of 20 CBCT datasets are used to evaluate the proposed method. 78 CBCT datasets are used to train the tooth segmentation network. Experiment results show that our proposed method enables us detect the dental arch directly in 3D CBCT space, and provides an accurate, effective, and robust solution for CBCT-based panoramic imaging. © 2024 SPIE. All rights reserved.

关键词： Image segmentation

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