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Visual Inference for IoT Systems: A Practical Approach

by Angel Rodríguez-Vázquez Jorge Fernández-Berni Delia Velasco-Montero

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

Visual Mathematics and Cyberlearning

by Dragana Martinovic Zekeriya Karadag Viktor Freiman

This first book in the series will describe the Net Generation as visual learners who thrive when surrounded with new technologies and whose needs can be met with the technological innovations. These new learners seek novel ways of studying, such as collaborating with peers, multitasking, as well as use of multimedia, the Internet, and other Information and Communication Technologies. Here we present mathematics as a contemporary subject that is engaging, exciting and enlightening in new ways. For example, in the distributed environment of cyber space, mathematics learners play games, watch presentations on YouTube, create Java applets of mathematics simulations and exchange thoughts over the Instant Messaging tool. How should mathematics education resonate with these learners and technological novelties that excite them?

The Visual Neuroscience of Robotic Grasping

by Eris Chinellato Angel P. Pobil

This book presents interdisciplinary research that pursues the mutual enrichment of neuroscience and robotics. Building on experimental work, and on the wealth of literature regarding the two cortical pathways of visual processing - the dorsal and ventral streams - we define and implement, computationally and on a real robot, a functional model of the brain areas involved in vision-based grasping actions. Grasping in robotics is largely an unsolved problem, and we show how the bio-inspired approach is successful in dealing with some fundamental issues of the task. Our robotic system can safely perform grasping actions on different unmodeled objects, denoting especially reliable visual and visuomotor skills. The computational model and the robotic experiments help in validating theories on the mechanisms employed by the brain areas more directly involved in grasping actions. This book offers new insights and research hypotheses regarding such mechanisms, especially for what concerns the interaction between the dorsal and ventral streams. Moreover, it helps in establishing a common research framework for neuroscientists and roboticists regarding research on brain functions.

Visual Object Tracking using Deep Learning

by Ashish Kumar

This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed. The book also: Discusses potential performance metrics used for comparing the efficiency and effectiveness of various visual tracking methods. Elaborates on the salient features of deep learning trackers along with traditional trackers, wherein the handcrafted features are fused to reduce computational complexity. Illustrates various categories of correlation filter-based trackers suitable for superior and efficient performance under tedious tracking scenarios. Explores the future research directions for visual tracking by analyzing the real-time applications. The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques, evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Visual Perception and Control of Underwater Robots

by Junzhi Yu Xingyu Chen Shihan Kong

Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in the sea. The second is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Additionally, the mainstream technologies covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from this work.

Visual Perception for Humanoid Robots: Environmental Recognition and Localization, from Sensor Signals to Reliable 6D Poses (Cognitive Systems Monographs #38)

by David Israel González Aguirre

This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: What & where is it? To answer these questions using a sensor-to-representation bridge, coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: • Active Sensing: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. • Feature Extraction & Recognition: Parameter-free, edge extraction methods based on structural graphs enable the representation of geometric primitives effectively and efficiently. This is done by eccentricity segmentation providing excellent recognition even on noisy & low-resolution images. Stereoscopic vision, Euclidean metric and graph-shape descriptors are shown to be powerful mechanisms for difficult recognition tasks. • Global Self-Localization & Depth Uncertainty Learning: Simultaneous feature matching for global localization and 6D self-pose estimation are addressed by a novel geometric and probabilistic concept using intersection of Gaussian spheres. The path from intuition to the closed-form optimal solution determining the robot location is described, including a supervised learning method for uncertainty depth modeling based on extensive ground-truth training data from a motion capture system.The methods and experiments are presented in self-contained chapters with comparisons and the state of the art. The algorithms were implemented and empirically evaluated on two humanoid robots: ARMAR III-A & B. The excellent robustness, performance and derived results received an award at the IEEE conference on humanoid robots and the contributions have been utilized for numerous visual manipulation tasks with demonstration at distinguished venues such as ICRA, CeBIT, IAS, and Automatica.

Visual Perception Through Video Imagery (Digital Signal And Image Processing Ser.)

by Michel Dhome

For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area. Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images.

Visual Privacy Management: Design and Applications of a Privacy-Enabling Platform (Lecture Notes in Computer Science #12030)

by Haralambos Mouratidis Paolo Giorgini Mattia Salnitri Jan Jürgens Loredana Mancini

​Privacy is a burden for most organizations, the more complex and wider an organization is, the harder to manage and enforce privacy is.GDPR and other regulations on privacy impose strict constraints that must be coherently enforced, considering also privacy needs of organization and their users. Furthermore, organizations should allow their users to express their privacy needs easily, even when the process that manages users' data is complex and involves multiple organizations.Many research work consider the problem using simplistic examples, with solutions proposed that never actually touch pragmatic problems of real, large organizations, with thousands of users and terabytes of personal and sensitive data.This book faces the privacy management problem targeting actual large organizations, such as public administrations, including stakeholders in the process of definition of the solution and evaluating the results with its actual integration in four large organizations. The contribution of this book is twofold: a privacy platform that can be customized and used to manage privacy in large organizations; and the process for the design of such a platform, from a state-of-the-art survey on privacy regulations, through the definition of its requirements, its design and its architecture, until the evaluation of the platform.

Visual Prosthetics

by Gislin Dagnelie

Visual Prosthetics provides an in-depth analysis of the principles of operation, current state, anticipated developments, and functional aspects of visual prosthetics restoring sight to visually impaired individuals. This volume uniquely describes the human visual system in health and disease in a pedagogical and didactic manner, fitting to professionals and researchers with a bioengineering background. Readers will find a balanced overview of electrical, molecular chemical and synthetic chromophore stimulation, in addition to the biophysics and psychological aspects of vision restoration. Unlike competitive texts, this introduction also includes the need and methods for functional evaluation and rehabilitation. Professionals in the field of biomedical engineering and graduate and postgraduate researchers will find Visual Prosthetics a valuable reference.

Visual Quality Assessment for Natural and Medical Image

by Yong Ding

Image quality assessment (IQA) is an essential technique in the design of modern, large-scale image and video processing systems. This book introduces and discusses in detail topics related to IQA, including the basic principles of subjective and objective experiments, biological evidence for image quality perception, and recent research developments. In line with recent trends in imaging techniques and to explain the application-specific utilization, it particularly focuses on IQA for stereoscopic (3D) images and medical images, rather than on planar (2D) natural images. In addition, a wealth of vivid, specific figures and formulas help readers deepen their understanding of fundamental and new applications for image quality assessment technology. This book is suitable for researchers, clinicians and engineers as well as students working in related disciplines, including imaging, displaying, image processing, and storage and transmission. By reviewing and presenting the latest advances, and new trends and challenges in the field, it benefits researchers and industrial R&D engineers seeking to implement image quality assessment systems for specific applications or design/optimize image/video processing algorithms.

Visual Representations in Science: Concept and Epistemology (History and Philosophy of Technoscience)

by Nicola Mößner

Visual representations (photographs, diagrams, etc.) play crucial roles in scientific processes. They help, for example, to communicate research results and hypotheses to scientific peers as well as to the lay audience. In genuine research activities they are used as evidence or as surrogates for research objects which are otherwise cognitively inaccessible. Despite their important functional roles in scientific practices, philosophers of science have more or less neglected visual representations in their analyses of epistemic methods and tools of reasoning in science. This book is meant to fill this gap. It presents a detailed investigation into central conceptual issues and into the epistemology of visual representations in science.

Visual Research Methods in Educational Research

by Julianne Moss Barbara Pini

Have you noticed there is a burgeoning take up of visual research in education? Are you considering using visual research as part of your next research project or revitalising your research methods course? For researchers who are new to the field of VRMs in education there is little critical literature on the subject. This book addresses the gap in the literature and brings together some of the leading educational researchers engaging and reflecting on the visual from Australia, the UK and Canada. Encapsulated in a single volume, this book sets out theoretically grounded discussions of the possibilities and challenges of the approach for educational researchers around four key themes: images of schooling, performing pedagogy, power and representation and ethical issues in educational research.

Visual Saliency: From Pixel-Level to Object-Level Analysis

by Jianming Zhang Filip Malmberg Stan Sclaroff

This book will provide an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc. In this book, the authors present methods for both traditional and emerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient object detection. For low-level tasks, the authors focus on pixel-level image processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features for different types of readers.

Visual Soil Evaluation

by Bruce C. Ball Rachel Guimarães Tom Batey Anne Weill Dick Godwin Lothar Mueller Mary Norton Scherbatskoy Joanna Cloy Lars J. Munkholm

Visual Soil Evaluation (VSE) provides land users and environmental authorities with the tools to assess soil quality for crop performance. This book describes the assessment of the various structural conditions of soil, especially after quality degradation such as compaction, erosion or organic matter loss. Covering a broad range of land types from abandoned peats to prime arable land, this useful handbook assesses yield potential across a range of scales. It also appraises the use of VSE in determining the potential of different land types for carbon storage, greenhouse gas emissions and nutrient leaching, and for diagnosing and rectifying erosion and compaction in soils.

Visual Soil Evaluation: Realizing Potential Crop Production with Minimum Environmental Impact

by Anne Weill Lothar Mueller Tom Batey Joanna Cloy Mary Norton Scherbatskoy Rachel Guimarães Dick Godwin

Visual Soil Evaluation provides land users and environmental authorities with the tools to assess soil quality for crop performance. An important tool for ensuring food security, this book appraises the use of visual soil evaluation in determining the potential of different land types for carbon storage, greenhouse gas emissions and nutrient leaching. Providing a guide to diagnosing and rectifying soil problems, it includes: - Full colour illustrations throughout to show variation of soil quality and aid evaluation - A broad range of land types, from abandoned peats to prime arable land - Assessment of soil structure after quality degradation such as compaction, erosion or organic matter loss Essential reading for students, researchers and scientists interested in soil science and crop production, this book is also a valuable tool for policy makers and environmental authorities. A useful handbook assessing yield potential across a range of scales, it places visual soil evaluation in the context of the future sustainable intensification of agriculture.

Visual-spatial Ability in STEM Education

by Myint Swe Khine

Each chapter in this book makes a unique contribution to the body of the literature and enhances the understanding of spatial ability and its influence on learning in the STEM disciplines. It addresses spatial abilities, ways to measure them as well as their impact and how they can affect learning subjects in scientific, technology and engineering domains. The volume deliberately covers a wide range perspectives from cognitive psychology, educational psychology, science, technology, engineering and mathematics, computer science, information technology disciplines to human development. Taking a broad view on the topic, chapters in the book discuss how to define spatial ability and its factors, the measurement of spatial ability and psychometric analyses, and educational strategies to improve spatial skills and their implications for science and technology education. The book thus provides an overview of current thinking about visual-spatial ability, spatial reasoning, and spatial skills.

Visual Tracking in Conventional Minimally Invasive Surgery

by Shahram Payandeh

Visual Tracking in Conventional Minimally Invasive Surgery introduces the various tools and methodologies that can be used to enhance a conventional surgical setup with some degree of automation. The main focus of this book is on methods for tracking surgical tools and how they can be used to assist the surgeon during the surgical operation. Various notions associated with surgeon–computer interfaces and image-guided navigation are explored, with a range of experimental results. The book starts with some basic motivations for minimally invasive surgery and states the various distinctions between robotic and non-robotic (conventional) versions of this procedure. Common components of this type of operation are presented with a review of the literature addressing the automation aspects of such a setup. Examples of tracking results are shown for both motion and gesture recognition of surgical tools, which can be used as part of the surgeon–computer interface. In the case of marker-less tracking, where no special visual markers can be added to the surgical tools, the tracking results are divided into two types of methodology, depending on the nature and the estimate of the visual noise. Details of the tracking methods are presented using standard Kalman filters and particle filters. The last part of the book provides approaches for tracking a region on the surgical scene defined by the surgeon. Examples of how these tracking approaches can be used as part of image-guided navigation are demonstrated. This book is designed for control engineers interested in visual tracking, computer vision researchers and system designers involved with surgical automation, as well as surgeons, biomedical engineers, and robotic researchers.

Visualising Safety, an Exploration: Drawings, Pictures, Images, Videos and Movies (SpringerBriefs in Applied Sciences and Technology)

by Jean-Christophe Le Coze Teemu Reiman

This open access book explores the role visual tools and graphical models play in safety management. It explains the importance of visualising safety, for teaching concepts, communicating ideas to peers, and raising awareness of potential threats through posters. Visualising Safety, an Exploration introduces graphical models which have been influential in promoting ideas of safety, and impacting the organisational design of safety mechanisms, including the Heinreich ‘safety pyramid’ and Reason’s ‘Swiss Cheese’. It analyses these models, as well as other forms of visualization, presenting viewpoints from academics and practitioners in the fields of safety science, history, ethnography and interface design.This brief will be of interest to anyone working in the field of safety management and design, including researchers, managers and students.

Visualization Analysis and Design (Ak Peters Visualization Ser.)

by Tamara Munzner

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques

Visualization and Interpretation: Humanistic Approaches to Display

by Johanna Drucker

An analysis of visual epistemology in the digital humanities, reorienting the creation of digital tools within humanities contexts.In the several decades since humanists have taken up computational tools, they have borrowed many techniques from other fields, including visualization methods to create charts, graphs, diagrams, maps, and other graphic displays of information. But are these visualizations actually adequate for the interpretative approach that distinguishes much of the work in the humanities? Information visualization, as practiced today, lacks the interpretivist frameworks required for humanities-oriented methodologies. In this book, Johanna Drucker continues her interrogation of visual epistemology in the digital humanities, reorienting the creation of digital tools within humanities contexts.

Visualization and Simulation of Complex Flows in Biomedical Engineering

by Rui Lima Yohsuke Imai Takuji Ishikawa Mónica S. N. Oliveira

This book focuses on the most recent advances in the application of visualization and simulation methods to understand the flow behavior of complex fluids used in biomedical engineering and other related fields. It shows the physiological flow behavior in large arteries, microcirculation, respiratory systems and in biomedical microdevices.

Visualization in Landscape and Environmental Planning: Technology and Applications

by Ian D. Bishop Eckart Lange

This major reference presents the challenges, issues and directions of computer-based visualization of the natural and built environment and the role of such visualization in landscape and environmental planning. It offers a uniquely systematic approach to the potential of visualization and the writers are acknowledged experts in their field of specialization. Case studies are presented to illustrate many aspects of landscape management including forestry, agriculture, ecology, mining and urban development.

Visualization of Fields and Applications in Engineering

by Stephen Tou

Driven by advances in computer technology, engineering analysis has developed rapidly and extensively in recent times; Visualization of Fields and Applications in Engineering presents the basic techniques for tensor field visualization and mapping of engineering data. Focusing on the fundamental aspects of post processing databases and applications outputs, the author explores existing theories and their integration in tensor field visualization and analysis. The subject covers fundamental theories through to integrated, multi-disciplinary technologies with practical applications in engineering, computer /general sciences. Visualization of Fields and Applications in Engineering is suitable for academic use and to serve as a source of reference. It will appeal to those who work in the engineering and science professions or in pursuit of academic training/ research.Offers a unique engineering approach to basic techniques for tensor field visualization and mappingCollates together material currently disseminated throughout the literature into one accessible point of referencePresents examples with applications beyond and across many disciplines.

Visualization of Shock Wave Phenomena

by Kazuyoshi Takayama

This book presents a wealth of images of shock wave phenomena, gathered by the author over the past 40 years. Shadowgrams and interferograms of basic shock-dynamic topics such as reflection, diffraction, refraction, and focusing of shock waves in gases and liquids are sequentially displayed. Though the images themselves are self-explanatory, brief explanations of the experimental conditions are included, so as to facilitate analysis and numerical reproduction of the image data. In addition, the book presents interferometric observations of underwater shock wave/bubble interactions, and highlights the multifaceted applications of shock wave phenomena to medicine and industry. Given its scope, the book offers a unique resource for students and researchers who are interested in shock wave phenomena. However, the content has also been specifically prepared for the benefit of readers who are interested in gas dynamics and medical applications of shock waves, and are looking for reliable experimental images.

Visualized Medicine: Emerging Techniques and Developing Frontiers (Advances in Experimental Medicine and Biology #1199)

by Zhe Liu

This book summarizes the recent advancements for visualized medicine in terms of fundamental principles, rapidly emerging techniques and developing frontiers. Especially with the combination of artificial intelligence (AI), medical imaging agents and medical robots, smart medical technologies have been innovated and applied to the clinical uses to serve the fatal human diseases diagnosis, treatment, prognosis and data analysis. This philosophy comprehensively revolutionizes the treatment strategy of human healthcare, and will enable precision medicine and precision surgery further intuitively detectable, smartly analyzable and accurately operational. This book will discuss and conclude: 1) state-of-the-art definition of visualized medicine; 2) advanced techniques and clinical applications of visualized medicine in the past decade; 3) novel frontiers and brand-new technologies, e.g. artificial intelligence (AI), surgical robots, etc. 4) revolutionary impacts on disease diagnosis, treatments and prognosis; 5) future challenges and perspectives.

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