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2024 IEEE international conference on Systems, Man, and Cybernetics, SMC 2024

作者： Yoosaf, Salih Ziyad, Naeema University of Twente Faculty of Electrical Engineering Mathematics and Computer Science AE Enschede7500 Netherlands Wright State University Bernard D. Researcheris with the Department of Electrical Engineering DaytonOH45435 United States

ISBN: (纸本)9781665410205

MediVision revolutionizes medical imaging by integrating Augmented Reality (AR) and Virtual Reality (VR) with traditional 2D data. This platform transforms standard DICOM images into immersive 3D models, enhancing diagnostic accuracy and anatomical exploration. Using Unity 3D and advanced image processing, MediVision enables in-teractive visualization of complex conditions through intuitive gestures and labeling. It supports clinical diagnostics, treatment planning, and medical education by simulating procedures and disease progression. MediVision also promotes global healthcare accessibility, reduces diagnostic errors, and supports remote consultations, setting a new benchmark for accuracy and education in medical imaging. © 2024 IEEE.

关键词： Medical education

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Research on land surface change and 3D visualization based on WebGis and computer graphics 4

Research on land surface change and 3D visualization based o...

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4th international conference on Geology, Mapping, and Remote Sensing, ICGMRS 2023

作者： Guo, Boyang Zhong, Mianqing Shaanxi Engineering Research Center of Geospatial Information Xi'an China Xi'an China

ISBN: (纸本)9781510672741

This article proposes a rapid monitoring and visualization method for surface changes based on multi-temporal DEM and WebGis. Firstly, high-resolution surface images are obtained using drones and processed into a digital elevation model (DEM). Then, mathematical modeling is performed on the surface change units using cubic voxels, and the voxels are rendered and animated in 3D. Finally, *** is synchronized with *** camera, and the cubic voxels are integrated into the WebGis space. Application in the No. 5 mine pit in Muli Town, Qinghai Province shows that the proposed method has high efficiency in data acquisition and rich visualization effects in analysis results. It can achieve quantitative simulation of surface change processes in a web browser environment. The proposed method has a low cost and a certain ability to generalize, and can be applied to similar fields for change monitoring. © 2024 COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： visualization

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Development of a Universal Post-processing Tool for Computational Fluid Dynamics Datasets CFD post-processing tool 7

Development of a Universal Post-processing Tool for Computat...

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7th international conference on Electronic Information Technology and computer Engineering (EITCE)

作者： Pan, Zihao Chen, Jiawei Butala, Mark David Zhejiang Univ Hangzhou Peoples R China

ISBN: (纸本)9798400708305

visualization in scientific computing has greatly improved the speed and quality of scientific computation, achieved further modernization of scientific computation tools and environments, and brought fundamental changes to scientific research work. We have developed a general post-processing tool for computational fluid dynamics (CFD) based on VTK and QT, which is used to visually represent the output files generated by CFD solvers. The tool utilizes the VTK graphics rendering library to develop a general CFD file reading and visualization interface for data visualization, and implements general CFD post-processing algorithms such as extracting contours, extracting iso-surfaces, generating streamline, etc. In addition, some auxiliary display functions have been added, such as displaying bounding boxes, adjusting color mapping tables, rotating perspective, etc. Besides, a simple but effective graphical user interface has been developed using QT.

关键词： visualization CFD post-processing VTK QT

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Proceedings - 10th international conference computer graphics, imaging, and visualization, CGIV 2013

Proceedings - 10th international conference computer graphic...

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10th international conference computer graphics, imaging, and visualization, CGIV 2013

ISBN: (纸本)9780769550510

The proceedings contain 23 papers. The topics discussed include: simulating gait and structural effects of aging for improved diversity in virtual crowds;a combined linear and circular-arc approximation of curves for feedrate smoothing of CNC machining;real-time rendering of rough refraction under dynamically varying environmental lighting;conversion of rational Bezier curves into non-rational Bezier curves using progressive iterative approximation;an approach to Thai decorative pattern recognition using Bezier curve representation with progressive iterative approximation;interactive segmentation based on initial segmentation and region merging;wavelets-based smoothness metric for volume data;efficient handwritten curve approximation by a Bezier curve using Chebyshev polynomials;iterated graph cut integrating texture characterization for interactive image segmentation;and multi-touch multi-user interactive control system using mobile devices.

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Deep Scene Synthesis of Atlanta-World Interiors from a Single Omnidirectional Image

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IEEE TRANSACTIONS ON visualization AND computer graphics 2023年第11期29卷 4708-4718页

作者： Pintore, Giovanni Bettio, Fabio Agus, Marco Gobbetti, Enrico CRS4 Turin Italy HBKU Doha Qatar

We present a new data-driven approach for extracting geometric and structural information from a single spherical panorama of an interior scene, and for using this information to render the scene from novel points of view, enhancing 3D immersion in VR applications. The approach copes with the inherent ambiguities of single-image geometry estimation and novel view synthesis by focusing on the very common case of Atlanta-world interiors, bounded by horizontal floors and ceilings and vertical walls. Based on this prior, we introduce a novel end-to-end deep learning approach to jointly estimate the depth and the underlying room structure of the scene. The prior guides the design of the network and of novel domain-specific loss functions, shifting the major computational load on a training phase that exploits available large-scale synthetic panoramic imagery. An extremely lightweight network uses geometric and structural information to infer novel panoramic views from translated positions at interactive rates, from which perspective views matching head rotations are produced and upsampled to the display size. As a result, our method automatically produces new poses around the original camera at interactive rates, within a working area suitable for producing depth cues for VR applications, especially when using head-mounted displays connected to graphics servers. The extracted floor plan and 3D wall structure can also be used to support room exploration. The experimental results demonstrate that our method provides low-latency performance and improves over current state-of-the-art solutions in prediction accuracy on available commonly used indoor panoramic benchmarks.

关键词： Omnidirectional 360 immersive view AR/MR/VR for architecture computer vision Machine learning

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An Interpretability Case Study of Unknown Unknowns Taking Clothes Image Classification CNNs as an Example 40th

An Interpretability Case Study of Unknown Unknowns Taking Cl...

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40th computer graphics international conference (CGI)

作者： Li, Huan Wang, Yue Cent Univ Finance & Econ Sch Informat Beijing Peoples R China

ISBN: (纸本)9783031500749;9783031500756

"Unknown unknowns" are instances predicted models assign incorrect labels with high confidence, greatly reducing the generalization ability of models. In practical applications, unknown unknowns may lead to significant decision-making mistakes and reduce the application value of models. As unknown unknowns are agnostic to models, it is extremely difficult to figure out why models would make highly confident but incorrect predictions. In this paper, based on identification of unknown unknowns, we investigate the interpretability of unknown unknowns arising from convolutional neural network models in image classification tasks by interpretable methods. We employ visualization methods to interpret prediction results on unknown unknowns, further understand predictive models and analyze the predictive basis of unknown unknowns. We focus the application scenario of interpretability of unknown unknowns on a clothes category recognition task (dress vs shorts) in e-commerce platforms, and observe some patterns of models making wrong classifications that lead to unknown unknowns, which indicates that a CNN model that lacks of common sense can make mistakes even for a large dataset. Besides, we observe some interesting phenomena: certain correct predictions of instances are unreliable due to wrongly identified features by CNNs.

关键词： Unknown unknowns CNN Interpretability CNN visualization

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Research on 3D Scene Data Organization and Management Based on Object-Oriented Dynamic Octree

Research on 3D Scene Data Organization and Management Based ...

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2024 international conference on Construction and Real Estate Management: ESG Development in the Construction Industry, ICCREM 2024

作者： Chen, Ke Gao, Yang Wang, Shifa Liu, Jing Li, Zhuoda Xu, Sheng Chengdu Branch of Sichuan Chengmian Cangba Expressway Co. Ltd. Chengdu China Shanghai Bingjiang Information Technology Co. Ltd. Shanghai China School of Economics and Management Chang'an Univ. Xi'an China Engineering Research Center for Digitization of Road Infrastructure Ministry of Education Xi'an China

ISBN: (数字)9780784485910

ISBN: (纸本)9780784485910

3D scene visualization has a wide range of applications. With the rapid development of various technologies in the corresponding fields, large-scale and complex type of data become a challenge for 3D scene visualization. Existing solutions in 3D visualization platforms are limited in data processing capacity for 3D spatial data and thus difficult to meet the data management requirements of large-scale scenes. Based on the octree partitioning approach, this paper proposed an object-oriented dynamic octree, adjusting the data storage mode, realized dynamic scene scheduling and memory utilization optimization, and improved the rendering efficiency and 3D scene. Based on object-oriented dynamic octree, this research improved the data preprocessing, data dispatch, and data rendering of a self-developed 3D visualization platform and demonstrated that it outperformed other platforms in speed and scale;therefore, it builds a solid base for developing a Chinese graphics engine for construction management platforms. © ASCE.

关键词： Rendering (computer graphics)

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Design and Implementation of Visual Teaching System Based on Deep Learn computer graphics Algorithm

Design and Implementation of Visual Teaching System Based on...

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2023 international conference on Telecommunications, Electronics and Informatics, ICTEI 2023

作者： Wang, Jiaxi Chen, Guang The Tourism College of Changchun University Jilin Changchun130000 China

ISBN: (纸本)9798350342963

visualization is an important tool for understanding complex phenomena and large-scale data, and it has been widely used in the field of natural science. Since the concept of visualization was put forward in 1986, the research of visualization technology has made gratifying progress. At present, visual teaching has attracted the attention of educational circles. Abroad, many researchers have affirmed the role and status of visualization in teaching;At home, researchers have also started research on visual teaching. Aiming at the characteristics of computer graphics, such as many algorithms and weak expression ability of words and pictures, visual teaching demonstration software is designed and developed by VB. The functions of algorithm selection, demonstration, interactive control, synchronous display of data changes, synchronous display of algorithm principle and code are realized. The technology of delaying the pixel generation speed, amplifying a single pixel and interactively controlling the algorithm demonstration process is adopted to visualize the graph generation process, improve the teaching quality and the intelligibility of the algorithm, and promote the transformation from traditional teaching mode to modern teaching mode. © 2023 IEEE.

关键词： visualization

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Middle School Architect: Programmatic Modeling and Construction via a 3D graphics Platform in Elm 2

Middle School Architect: Programmatic Modeling and Construct...

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2nd international conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024

作者： Parcha, Anurag Mishra, Sanjana Anand, Christopher Kumar Pushparaj, Jagalingam Simon Fraser University BurnabyBC Canada McMaster University Computing and Software HamiltonON Canada School of Computer Science and Engineering Vellore Institute of Technology TN Vellore India

ISBN: (纸本)9798350328202

Today, school students are first introduced to geom-etry and advanced mathematical concepts by plotting a graph in 2D and they struggle with 3D concepts since current technologies are either too difficult to grasp or too simple with only drag-drop functionalities disconnected from coordinates. This article presents a 3D graphics library and an interactive, educational system for visualization of a 3D environment where planks of Cross Laminated Timber (CLT) can be manipulated by geometric and mathematical functions to produce a 3D building. Throughout, there is a focus on functions, 3D geometry and other underlying mathematics, and links are made with the world of computing, specifically computer graphics, to increase students' interest and confidence. Activities built on this library simultaneously meet multiple curricular objectives: mathematics (including 3D geometry), programming (in Elm, a web program-ming language used commercially), and sustainable development (using a negative embodied carbon building material). © 2024 IEEE.

关键词： Sustainable development

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Absolute-ROMP: Recovering Multi-person 3D Poses and Shapes with Absolute Scales from a Single RGB Image 18th

Absolute-ROMP: Recovering Multi-person 3D Poses and Shapes w...

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18th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 18th international conference on computer graphics Theory and Applications

作者： AbdulRahman, Bilal Zhu, Zhigang CUNY Grad Ctr New York NY 10016 USA CUNY City Coll New York NY 10031 USA CUNY Grad Ctr New York NY 10031 USA

ISBN: (纸本)9783031667428;9783031667435

One of the grand challenges in computer vision is to recover 3D poses and shapes of multiple human bodies with absolute scales from a single RGB image. The challenge stems from the inherent depth and scale ambiguity from a single view. The state of the art on 3D human pose and shape estimation mainly focuses on estimating the 3D joint locations relative to the root joint, defined as the pelvis joint. In this paper, a novel approach called Absolute-ROMP is proposed, which builds upon a one-stage multi-person 3D mesh predictor network, ROMP, to estimate multi-person 3D poses and shapes, but with absolute scales from a single RGB image. To achieve this, we introduce absolute root joint localization in the camera coordinate frame, which enables the estimation of 3D mesh coordinates of all persons in the image and their root joint locations normalized by the focal point. Moreover, a CNN and transformer hybrid network, called TransFocal, is proposed to predict the focal length of the image's camera. This enables Absolute-ROMP to obtain absolute depth information of all joints in the camera coordinate frame, further improving the accuracy of our proposed method. The Absolute-ROMP is evaluated on the root joint localization and root-relative 3D pose estimation tasks on publicly available multi-person 3D pose datasets, and TransFocal is evaluated on a dataset created from the Pano360 dataset. Our proposed approach achieves state-of-the-art results on these tasks, outperforming existing methods or has competitive performance. Due to its real-time performance, our method is applicable to in-the-wild images and videos.

关键词： Machine learning computer vision 3D reconstruction Camera calibration Pose prediction Human mesh regression

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