[PDF] Fusion Of Rgb And Thermal Data For Improved Scene Understanding eBook

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Fusion of RGB and Thermal Data for Improved Scene Understanding

Ryan Elliott Smith
Fusion of RGB and Thermal Data for Improved Scene Understanding by Ryan Elliott Smith PDF

Author : Ryan Elliott Smith
Publisher :
Page : 58 pages
File Size : 30,53 MB
Release : 2017
Category :
ISBN :

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Thermal cameras are used in numerous computer vision applications, such as human detection and scene understanding. However, the cost of high quality and high resolution thermal sensors is often a limiting factor. Conversely, high resolution visual spectrum cameras are readily available and generally inexpensive. Herein, we explore the creation of higher quality upsampled thermal imagery using a high resolution visual spectrum camera and Markov random fields theory. This paper also presents a discussion of the tradeoffs from this approach and the effects of upsampling, both from quantitative and qualitative perspectives. Our results demonstrate the successful application of this approach for human detection and the accurate propagation of thermal measurements within images for more general tasks like scene understanding. A tradeoff analysis of the costs related to performance as the resolution of the thermal camera decreases are also provided.

Multimodal Scene Understanding

Michael Yang
Multimodal Scene Understanding by Michael Yang PDF

Author : Michael Yang
Publisher : Academic Press
Page : 422 pages
File Size : 41,22 MB
Release : 2019-07-16
Category : Computers
ISBN : 0128173599

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Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. Contains state-of-the-art developments on multi-modal computing Shines a focus on algorithms and applications Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Multispectral Image Fusion and Colorization

Yufeng Zheng (Associate professor)
Multispectral Image Fusion and Colorization by Yufeng Zheng (Associate professor) PDF

Author : Yufeng Zheng (Associate professor)
Publisher :
Page : 396 pages
File Size : 12,40 MB
Release : 2018
Category : Computer vision
ISBN : 9781510619067

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"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--

Advances in Intelligent Information Hiding and Multimedia Signal Processing

Shu-Chuan Chu
Advances in Intelligent Information Hiding and Multimedia Signal Processing by Shu-Chuan Chu PDF

Author : Shu-Chuan Chu
Publisher : Springer Nature
Page : 335 pages
File Size : 38,47 MB
Release : 2022-07-05
Category : Technology & Engineering
ISBN : 981191057X

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The book presents selected papers from the 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, held on October 29 – 31, 2021, in Kaohsiung, Taiwan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and Internet of things, and their applications.

Cyber-Physical Security for Critical Infrastructures Protection

Habtamu Abie
Cyber-Physical Security for Critical Infrastructures Protection by Habtamu Abie PDF

Author : Habtamu Abie
Publisher : Springer Nature
Page : 225 pages
File Size : 14,18 MB
Release : 2021-03-21
Category : Computers
ISBN : 3030697819

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This book constitutes the refereed proceedings of the First International Workshop on Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2020, which was organized in conjunction with the European Symposium on Research in Computer Security, ESORICS 2020, and held online on September 2020. The 14 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections named: security threat intelligence; data anomaly detection: predict and prevent; computer vision and dataset for security; security management and governance; and impact propagation and power traffic analysis. The book contains 6 chapters which are available open access under a CC-BY license.

Multi-resolution Image Fusion in Remote Sensing

Manjunath V. Joshi
Multi-resolution Image Fusion in Remote Sensing by Manjunath V. Joshi PDF

Author : Manjunath V. Joshi
Publisher : Cambridge University Press
Page : 255 pages
File Size : 39,50 MB
Release : 2019-01-24
Category : Computers
ISBN : 1108475124

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Written using clear and accessible language, this useful guide discusses fundamental concepts and practices of multi-resolution image fusion.

Autonomous Driving Perception

Rui Fan
Autonomous Driving Perception by Rui Fan PDF

Author : Rui Fan
Publisher : Springer Nature
Page : 391 pages
File Size : 15,85 MB
Release : 2023-10-06
Category : Technology & Engineering
ISBN : 981994287X

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Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.

Computer Vision – ECCV 2022 Workshops

Leonid Karlinsky
Computer Vision – ECCV 2022 Workshops by Leonid Karlinsky PDF

Author : Leonid Karlinsky
Publisher : Springer Nature
Page : 797 pages
File Size : 31,91 MB
Release : 2023-02-17
Category : Computers
ISBN : 3031250729

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The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.