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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

共 54092 条记录，以下是221-230 订阅

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ImmersiveAutochrome: Enhanced Digitized Mono-Autochrome Viewing through Deep Learning and Virtual Reality

ImmersiveAutochrome: Enhanced Digitized Mono-Autochrome View...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Saptarshi Neil Sinha Robin Horst Irina-Mihaela Ciortan Holger Graf Arjan Kuijper Michael Weinmann Fraunhofer IGD Norwegian University of Science and Technology TU Darmstadt Delft University of Technology

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Resulting from the earliest impactful color photography process developed by the Lumière Brothers, autochromes are invaluable historical artifacts with a high sensitivity and susceptibility to degradation over time. We investigate the potential of deep learning to enhance the experience of historical autochromes through 3D photography and Virtual Reality (VR). Our proposed pipeline utilizes single-image depth estimation and depth-aware inpainting to transform digitized mono-autochromes into layered depth images and corresponding 3D meshes, enabling immersive 3D visualization via a WebXR application. Our user study shows the effectiveness of VR-based experience of autochromes compared to traditional visualization methods, revealing that participants found the VR experience as pleasant as analog exploration despite the latter’s authenticity. Thereby, our findings suggest that 3D VR technology could play a crucial role in digitally preserving and revitalizing these culturally significant artifacts and foster investigations with more samples and more types of user interfaces to mature these insights.

关键词： Photography Deep learning visualization Three-dimensional displays Sensitivity Depth measurement Refining Virtual reality Transforms User interfaces

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Testability Research of Civil Aircraft Cockpit Lighting System

Testability Research of Civil Aircraft Cockpit Lighting Syst...

引用

ieee information Technology and Mechatronics Engineering conference (ITOEC)

作者： Chen Shihui Shanghai Aircraft Design & Research Institute Shanghai China

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

The cockpit lighting system is a critical human-machine interface that integrates controls, displays, and lighting for status control and indication across various aircraft systems. It enables flight crews to operate aircraft systems and provides illumination and status displays under all cockpit lighting conditions. Effective cockpit lighting design mitigates pilot visual fatigue, enhances operational accuracy, and reduces the risk of human error-induced flight accidents, thus fostering a more comfortable flight environment. Adhering to MIL-STD-2165, this study employs diverse testability design and analysis methods, including FMEA, testability analysis, and BIT design, to enhance the testability and safety of the cockpit lighting system. The research contributes novel perspectives and methodologies for the design and maintenance of future civil aircraft cockpit lighting systems, emphasizing fault detection and prediction to ensure system reliability throughout its lifecycle.

关键词： Military standards visualization Mechatronics Human-machine systems Design methodology Lighting Safety Maintenance Aircraft Usability

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Shoe-Based PDR System for Two-Dimensional Tracking

Shoe-Based PDR System for Two-Dimensional Tracking

引用

ieee International conference on Consumer Electronics (ICCE)

作者： Dai Kajimoto Yusuke Tanaka Siya Bao Nozomu Togawa Department of Computer Science and Communications Engineering Waseda University Ashirase Corporation

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

The most famous absolute self-positioning is GPS (Global Positioning System). However, GPS cannot be used in indoor and underground environments. Thus, relative positioning methods such as sensor-based pedestrian dead reckoning (PDR) are required. The visually impaired has difficulty using navigation devices using visual information, such as smartphones, and it is necessary to develop navigation devices using non-visual information. In this paper, we propose a highly accurate two-dimensional PDR using Ashirase device, a shoe-based wearable sensor. This sensor provides non-visual navigation aids through the underfoot vibrations and has an accurate position estimation as the sensor is strongly attached to the shoe. The proposed method obtained a low estimation error <0.2% walking in straight lines and <1.2% walking in circles.

关键词： Legged locomotion Vibrations visualization Accuracy Pedestrians Dead reckoning Wearable devices Wearable sensors Smart phones Global Positioning System

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Cuing Multiple-Targets for Visual Search in Virtual Reality

Cuing Multiple-Targets for Visual Search in Virtual Reality

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Brendan Kelley Ryan P. McMahan Christopher D. Wickens Benjamin A. Clegg Francisco R. Ortega Colorado State University Virginia Tech Montana State University

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Visual search is a common task, especially given the high amount of spatial information we process visually. To aid in searching an environment for targets, various cues have been developed and implemented for augmented reality (AR) head-mounted displays (HMDs). A variety of designs have emerged from prior literature including the gaze line, 2D wedge, and 3D arrow, each with unique design characteristics. However, many of these designs are not evaluated beyond their initial design proposals. Results favored the gaze line cue for search time, accuracy, and reported mental effort, potentially highlighting the benefit of having both direction and location information embedded into the cue.

关键词： visualization Three-dimensional displays Accuracy Head-mounted displays conferences User interfaces Time factors Proposals Augmented reality

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Real-Time MDNet with Adaptive Feature Fusion for RGB-T Object Tracking

Real-Time MDNet with Adaptive Feature Fusion for RGB-T Objec...

引用

Power Electronics, Computer Applications (ICPECA), ieee International conference on

作者： Shanlin Jiang School of Sports Engineering Beijing Sport University Beijing China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Given a video and its initial target, visual object tracking aims to locate the specific target in the following frames. Most trackers only utilize visible modality, leading to inferior performance on dark night. Current researchers have tried to involve thermal data to achieve satisfying performance in all conditions. The main issue on RGB-T object tracking is how to fuse those modalities. In this paper, we propose a real-time MDNet with adaptive feature fusion method. We introduce information entropy to obtain fusion weights, which can achieve adaptive fusion. Our method can achieve better performance on the public dataset against several fusion methods. Both quantitative and qualitative experiments validate the effectiveness of our method. Furthermore, our method can maintain real-time speed.

关键词： visualization Target tracking Fuses Computer applications Real-time systems Power electronics Object tracking information entropy

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AutoGaze: A Very Initial Exploration in A SAM2-based Pipeline for Automated Eye-Object Interaction Analysis in First-Person Videos

AutoGaze: A Very Initial Exploration in A SAM2-based Pipelin...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Qing Zhang Yifei Huang Jun Rekimoto The University of Tokyo Sony CSL Kyoto

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

This paper presents a novel automated workflow for analyzing eye-tracking data in first-person videos. Our system uses the Segment Anything Model 2 (SAM2) to segment and track objects, correlating them with gaze information to provide a detailed understanding of visual attention and hand-object interactions. The pipeline outputs a structured JSON file containing rich information about gaze behavior, object interactions, and their temporal relationships. We demonstrate the system’s effectiveness in a life science operational context and compare its performance with a multimodal Large Language Model (LLM) for automated annotation. Our findings highlight the potential of combining advanced computer vision techniques with LLMs for comprehensive and scalable analysis of gaze behavior in real-world scenarios.

关键词： visualization Solid modeling Three-dimensional displays Pipelines Gaze tracking Virtual reality User interfaces Life sciences Trajectory Videos

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Application of Multimodal Deep Learning Algorithm in Image and Text Fusion Recognition

Application of Multimodal Deep Learning Algorithm in Image a...

引用

Power Electronics, Computer Applications (ICPECA), ieee International conference on

作者： Zhenyu Chen Bin Zhang China Electronics Technology Group Corporation 20th Research Institute Xi'an Shaanxi China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

With the explosive growth of multimedia data, how to effectively extract information from images and texts and realize the integration of the two has become a research hotspot. This paper discusses the application of multimodal deep learning algorithms in this field to enhance the correlation between image and text features, especially by introducing the cross-modal attention mechanism (CAM). In this paper, a multi-modal encoder-decoder model based on Transformer architecture is proposed, which uses the Self-Attention Mechanism to effectively solve the problem of long-distance dependence and aligns the semantic space of images and texts. In order to overcome the imbalance of training data, a weighted loss function was designed to ensure that the samples of each category could be fully learned. Finally, the robustness and generalization ability of the system are further enhanced by optimizing the configuration of model parameters.

关键词： Deep learning visualization Correlation Attention mechanisms Translation Text recognition Semantics Training data Computer architecture Transformers

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Adversarial Feature Disentanglement Framework for Voice Pathology Detection

Adversarial Feature Disentanglement Framework for Voice Path...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yifan Xiong Dongyue Guo Lipeng Shen Wei Mo Hui Yang Yi Lin College of Computer Science Sichuan University Chengdu China Department of Otorhinolaryngology-Head & Neck Surgery West China Hospital Sichuan University Chengdu China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Voice pathology detection plays an important role in diagnosis and medical intervention. Existing methods suffer from inferior performance with limited and imbalanced training samples since the pathological information is coupled with other linguistic and paralinguistic attributes. In this work, a novel adversarial feature disentanglement framework is proposed to achieve the voice pathology detection task by extracting task-oriented features and optimizing feature space. Specifically, to suppress noise features in the coupled representations, an adversarial feature disentanglement mechanism is proposed to decouple pathological and non-pathological information, in which a mutual information discriminator is introduced to prevent information leakage. A classification and contrastive learning (CCL) module is designed to cluster intra-class embeddings in high-dimensional space. Experiments on the open-source SVD and FEMH datasets demonstrate that the proposed model outperforms other competitive baselines, achieving 87.94% and 92.06% accuracy, respectively. The visualization also validates the effectiveness in distinguishing pathological and non-pathological features.

关键词： Training Measurement Pathology visualization Noise Contrastive learning Feature extraction Speech processing Mutual information Medical diagnostic imaging

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A Problem-Driven Approach to XR in Education: Teaching Non-Euclidean Geometries Through Virtual Reality

A Problem-Driven Approach to XR in Education: Teaching Non-E...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Maé MavRomatis Ronan Gaugne Rémi Coulon Valérie Gouranton Univ Rennes INSA Rennes Inria CNRS IRISA France Univ Rennes Inria CNRS IRISA France IMB UMR 5584 CNRS Université de Bourgogne Dijon

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Immersive technologies are increasingly used in education, offering unique benefits in fields like mathematics that require spatial understanding. These tools enable learners to interact with virtual environments, providing hands-on experiences that enhance comprehension and retention of abstract concepts. This is particularly valuable in areas like non-Euclidean geometries, which are difficult to visualize using traditional methods. This paper explores our research on using virtual reality to teach non-Euclidean geometries, highlighting both the benefits and challenges.

关键词： Geometry visualization Three-dimensional displays conferences Virtual environments Educational technology User interfaces information age Cognition Planning

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Enhanced Crop Yield Predictions Amid Climate Change to Improve Agriculture With SwinTrans-Att Based Model

Enhanced Crop Yield Predictions Amid Climate Change to Impro...

引用

2025 International conference on Visual Analytics and Data visualization, ICVADV 2025

作者： Gowsic, K. Ashwini, A. Sankar, M. Arul Balamurugan, R. Mahendra Engineering College Department of Computer Science and Engineering Namakkal Tamilnadu Mallasamudram India Mahendra Engineering College Department of Information Technology Mallasamudram TamilNadu Namakkal India

ISBN: (纸本)9798331521394

Harvest prediction is crucial to global, national, and local farming decisions. Soil, climate, environmental conditions, and crop characteristics affect harvest forecasts. Crop sensing, monitoring, management information systems, and variable rate technologies enable precision agriculture to enhance crop output and quality while minimizing environmental impact. The suggested method involves preprocessing, feature selection, and model training. Preprocessing normalizes input variables using min-max scaling to preserve distributions. Feature selection considers irrigation, land use, fertilizer application, and weather, which affect agricultural productivity. To trained the model with SwinTrans-Att, which handles complex agricultural data. The SwinTrans-Att model outperformed CNN and SVM with an average accuracy of 93.61%. This highlights its power for precision farming and crop management decisions. This study found that preprocessing, feature selection, and advanced modeling increase crop yield estimates. Precision agriculture's revolutionary potential to boost production and sustainability is shown © 2025 ieee.

关键词： Precision agriculture

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