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检索条件"任意字段=International Conference on Computer Graphics, Imaging and Visualization"

共 12090 条记录，以下是741-750 订阅

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Voice Controlled Autonomous Vehicle: Execution on a Small Scale

Voice Controlled Autonomous Vehicle: Execution on a Small Sc...

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Data, Computation and Communication (ICDCC), international conference on

作者： Jigisha Mourya Navya John Krishan Kumar Dept. of Computer Science Engineering Sharda University Greater Noida India

ISBN: (数字)9798331532956

ISBN: (纸本)9798331532963

This paper addresses the challenge of improving user interaction with autonomous vehicles by integrating voice command recognition with real-time visual feedback. The study employs Google's speech recognition Application Programming Interface to transcribe spoken commands and the turtle graphics library to simulate the corresponding vehicle actions. The system is designed to accurately recognize and process voice commands, translating them into visual simulations that mirror the intended vehicle movements. The research method involved testing the system with various commands to assess its performance and effectiveness. The findings suggest that this integrated approach has significant potential for enhancing the usability and accessibility of autonomous vehicle systems.

关键词： visualization Accuracy Speech recognition Real-time systems Libraries Internet Reliability Usability Autonomous vehicles Testing

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Improving Wavelet-Based Image Fusion with Weighted Average of High Boost and CLAHE

Improving Wavelet-Based Image Fusion with Weighted Average o...

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IEEE Students' conference on Electrical, Electronics and computer Science (SCEECS)

作者： Nikhil V. Soniminde Maheshwari Biradar D Y Patil International University Pune India Pimpri Chinchwad College of Engineering Pune India School of Computer Science Engineering and Applications(SCSEA) D Y Patil International University Pune India

Image fusion continues to be essential across various domains, such as computer vision, remote sensing, medical imaging, and military applications, from a technical standpoint. Given the rapid advancements in technology, The significance of image fusion in research is steadily increasing on a daily basis from a technical perspective. In various fields, image fusion plays a crucial role by integrating information from multiple images or imaging modalities into a unified composite image. The technique of wavelet-based image fusion is employed to merge multiple images or sources of images at varying scales and resolutions. Wavelet-based image fusion is a technique utilized to amalgamate multiple images or image sources at different scales and resolutions. It leverages the mathematical tool called wavelet transform to achieve this. The application of wavelet-based image fusion is prevalent in diverse fields like remote sensing, medical imaging, computer vision, and surveillance. This technique is vital in these domains as it enables the integration of information from multiple sources, facilitating decision-making, analysis, and visualization processes. Wavelet-based image fusion, while a powerful technique, has its limitations. The method can introduce artefacts like ringing and blurring effects in the fused output images. The proposed method removes the blurring effects using Wavelet fusion of the Weighted High-Boost Filters (HBF) and Weighted Clipped Limited Adaptive Histogram Equalization (CLAHE). The Results of experimentation on the Medical Images Dataset and IR and Visible Images Dataset using performance metrics alias entropy, NIQE, and BRISQUE have proven the proposed method to be better.

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13th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications, VISIGRAPP 2018

13th International Joint Conference on Computer Vision, Imag...

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13th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications, VISIGRAPP 2018

ISBN: (纸本)9783030267551

The proceedings contain 18 papers. The special focus in this conference is on computer Vision, imaging and computer graphics Theory and Applications. The topics include: Flash, storm, and mistral: Hardware-friendly and high quality tone mapping;a simple and exact algorithm to solve linear problems with 1-based regularizers;spatial and spectral calibration of a multispectral-augmented endoscopic prototype;random forests based image colorization;a survey on databases of facial macro-expression and micro-expression;real-time head pose estimation by tracking and detection of keypoints and facial landmarks;contact-less, optical heart rate determination in the field ambient assisted living;effective facial expression recognition through multimodal imaging for traumatic brain injured patient’s rehabilitation;3D articulated model retrieval using depth image input;haptic and touchless user input methods for simple 3D interaction tasks: Interaction performance and user experience for people with and without impairments;recommendations from a study of a multimodal positive computing system for public speaking;utilisation of linguistic and paralinguistic features for academic presentation summarisation;An ROI visual-analytical approach for exploring uncertainty in reservoir models;a descriptive attribute-based framework for annotations in data visualization;tabularVis: An interactive relationship visualization tool supported by optimization and search algorithms;visual computing methods for assessing the well-being of older people.

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Visual Analysis of Billiard Dynamics Simulation Ensembles 15

Visual Analysis of Billiard Dynamics Simulation Ensembles

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15th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 11th international conference on Information visualization Theory and Applications (IVAPP)

作者： Boshe-Plois, Stefan Quynh Quang Ngo Albers, Peter Linsen, Lars Westfalische Wilhelms Univ Munster Munster Germany Heidelberg Univ Heidelberg Germany

ISBN: (纸本)9789897584022

Mathematical billiards assume a table of a certain shape and dynamical rules for handling collisions. Some trajectories exhibit distinguished patterns. Detecting such trajectories manually for a given billiard is cumbersome, especially, when assuming an ensemble of billiards with different parameter settings. We propose a visual analysis approach for simulation ensembles of billiard dynamics based on phase-space visualizations and multi-dimensional scaling. We apply our methods to the well-studied approach of dynamical billiards for validation and to the novel approach of symplectic billiards for new observations.

关键词： Ensemble visualization Billiard Dynamics

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Dental Periapical Lesion Detection with Retinex Image Processing and an Efficient Deep Learning Model

Dental Periapical Lesion Detection with Retinex Image Proces...

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international conference on Trends in Electronics and Informatics (ICEI)

作者： C.A. Aslin Christo Julia Punitha Malar Dhas Deva Priya Computer Science and Engineering Karunya University Coimbatore India

ISBN: (数字)9798331544607

ISBN: (纸本)9798331544614

Dental periapical lesions help doctors understand your oral health needs and must be found accurately to deliver proper treatment. The research introduces a new way to find dental periapical lesions by combining Retinex image processing with YOLOv8 object detection. The Retinex method lets the model detect periapical lesions more accurately because it enhances image details while removing picture noise. Test outcomes show enhanced lesion detection that performs well with precise accuracy in tough image scenarios. The research demonstrates how advanced image processing helps medical imaging deep learning systems work better. The Objective of this work is to improve visibility of periapical lesions by Retinex based enhancement and fast detection through YOLOv8.

关键词： Deep learning Radiography visualization Object detection Real-time systems Skin Dentistry Lesions X-ray imaging Biomedical imaging

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A Deep Learning-Oriented Approach for Lung CT Augmentation: Leveraging U-Net and GAN Architecture 6

A Deep Learning-Oriented Approach for Lung CT Augmentation: ...

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6th IEEE international conference on Recent Advances in Intelligent Computational Systems, RAICS 2024

作者： Tripathi, Amrita Singh, Tripty Sulochana, Balla Charisma Pragada, Bhavya Sri Kiran, Boya Chaitanya Reddy, Gaddam Anvith Duraswamy, Prakash Shivakumar, Swamy S Department of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India University of Wisconsin-Green Bay Wisconsin USA Head Radiation Oncology HCG Cancer Hospital Bangalore

ISBN: (纸本)9798350381689

This study concerns the use of complex imaging methods like integrating ResNet, Generative Adversarial Networks (GAN), and U- Net with a single set of variables. Improving medical image analysis for lung-related diseases is the primary objective. This study performs in- depth analysis of lung CT data, aiming at improving UNet parameters, GANs and ResNet for better segmentation experience effects on 3D volume rendering images classification. The major effort here is tuning the parameters of the U-Net architecture, training GANs for generative tasks and applying ResNet to improve feature extraction and classification. To provide more detailed understanding of structures in the lung, advanced 3D visualization techniques are used to give greater insights into abnormalities. With the use of U-Net, GAN and ResNet together can classify lung CT scans. This provides a way to distinguish between general patterns and specific problems. The main goal is to fuse these solid building blocks in order to process medical pictures for better results, that will increase the effectiveness and accuracy of diagnosing diseases related with lungs. © 2024 IEEE.

关键词： Generative adversarial networks

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Transforming Ocular Health: A Vision Transformer Based Eye Disease Detection with GradCam visualization

Transforming Ocular Health: A Vision Transformer Based Eye D...

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international conference on computer and Information Technology (ICCIT)

作者： Muntasir Kamal Ashifur Rahman Md. Akbar Hossain Mohasina Jannat Moon M. M. Fazle Rabbi Dept. of CSE BUBT Dhaka Bangladesh

ISBN: (数字)9798331519094

ISBN: (纸本)9798331519100

Ocular diseases remain a substantial public health concern, necessitating the development of precise and efficient diagnostic methodologies. Notably, despite advances in medical imaging and artificial intelligence, a critical research gap persists in achieving accurate and dependable detection of major eye conditions. In response to this pressing need, our research presents an innovative approach for the identification of five major eye diseases, employing a Vision Transformer (ViT) model in tandem with the GradCam visualization technique. Our method not only bridges this existing research gap but also demonstrates remarkable performance, surpassing the capabilities of existing systems. With an exceptional accuracy of 90.3%, a precision rate of 90.0%, a recall rate of 90.0%, and an F1-score of 90.0%, our proposed method sets a new benchmark for the accurate and reliable diagnosis of ocular conditions. To ensure the robustness and consistency of our approach, we conducted rigorous 5-fold cross-validation, achieving an average accuracy of 89.64%. This research represents a significant advancement in the field of eye disease detection, promising to yield improved clinical outcomes and patient care.

关键词： computer vision visualization Accuracy Pressing Transformers Eye diseases Robustness Medical diagnosis Artificial intelligence Public healthcare

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Haptic Feedback Relocation from the Fingertips to the Wrist for Two-Finger Manipulation in Virtual Reality

Haptic Feedback Relocation from the Fingertips to the Wrist ...

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IEEE/RSJ international conference on Intelligent Robots and Systems (IROS)

作者： Palmer, Jasmin E. Sarac, Mine Garza, Aaron A. Okamura, Allison M. Stanford Univ Dept Mech Engn Stanford CA 94305 USA Kadir Has Univ Dept Mechatron Engn Istanbul Turkey

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

Relocation of haptic feedback from the fingertips to the wrist has been considered as a way to enable haptic interaction with mixed reality virtual environments while leaving the fingers free for other tasks. We present a pair of wrist-worn tactile haptic devices and a virtual environment to study how various mappings between fingers and tactors affect task performance. The haptic feedback rendered to the wrist reflects the interaction forces occurring between a virtual object and virtual avatars controlled by the index finger and thumb. We performed a user study comparing four different finger-totactor haptic feedback mappings and one no-feedback condition as a control. We evaluated users' ability to perform a simple pick-and-place task via the metrics of task completion time, path length of the fingers and virtual cube, and magnitudes of normal and shear forces at the fingertips. We found that multiple mappings were effective, and there was a greater impact when visual cues were limited. We discuss the limitations of our approach and describe next steps toward multi-degreeof-freedom haptic rendering for wrist-worn devices to improve task performance in virtual environments.

关键词： Wrist Performance evaluation visualization Thumb Virtual environments Mixed reality Rendering (computer graphics)

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Table of Contents

Table of Contents

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Brazilian Symposium on computer graphics and Image Processing (SIBGRAPI)

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Research on 3D Image Simulation of Landscape Design Rationality Based on Virtual Reality

Research on 3D Image Simulation of Landscape Design Rational...

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Telecommunications and Power Electronics (TELEPE), international conference on

作者： Xin Song Bo Zhai Xin Zhang Beijing City University Beijing China Beijing Zhongsha Architectural Design & Research Institute Co. LTD. Tianjin China China Urban Construction Design & Research Institute Beijing China

ISBN: (数字)9798350369212

ISBN: (纸本)9798350380002

Landscape design, an integral aspect of enhancing natural beauty and greenery, is governed by several considerations when it comes to its spatial distribution. Given its significance, there's a growing need to research methods that effectively simulate and assess the rationality of such designs. These designs draw from the principles of landscape architecture, aligning with broader planning objectives and leveraging a range of scientific, technological, and artistic tools to shape and preserve outdoor spaces. Meanwhile, virtual reality stands out as a transformative concept and technology, enabling humans to perceive and remodel their surroundings. It essentially bridges the gap between humans and the objects they seek to understand or alter for specific purposes. Using this technology as a foundation, our research delves into the 3D simulation of landscape designs. We examine the flow of landscape features, construct a simulation model using these features, and present the evaluation outcomes through 3D visualization. Comparative tests reveal that this 3D simulation-based evaluation offers both accuracy and swiftness, aligning well with user requirements.

关键词： visualization Technological innovation Solid modeling Three-dimensional displays Shape Virtual reality computer architecture Rendering (computer graphics) Planning Telecommunications

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