Active Lighting And Its Application For Computer Vision

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Active Lighting and Its Application for Computer Vision

Katsushi Ikeuchi,Yasuyuki Matsushita,Ryusuke Sagawa,Hiroshi Kawasaki,Yasuhiro Mukaigawa,Ryo Furukawa,Daisuke Miyazaki
Active Lighting and Its Application for Computer Vision Book PDF

Author : Katsushi Ikeuchi,Yasuyuki Matsushita,Ryusuke Sagawa,Hiroshi Kawasaki,Yasuhiro Mukaigawa,Ryo Furukawa,Daisuke Miyazaki
Publisher : Springer Nature
Page : 309 pages
File Size : 42,9 Mb
Release : 2020-09-07
Category : Computers
ISBN : 9783030565770

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Active Lighting and Its Application for Computer Vision by Katsushi Ikeuchi,Yasuyuki Matsushita,Ryusuke Sagawa,Hiroshi Kawasaki,Yasuhiro Mukaigawa,Ryo Furukawa,Daisuke Miyazaki Pdf

This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene. Traditional passive techniques have a fundamental limitation. The external world surrounding us is three-dimensional; the image projected on a retina or an imaging device is two-dimensional. That is, reduction of one dimension has occurred. Active illumination techniques compensate for the dimensional reduction by actively controlling the illumination. The demand for reliable vision sensors is rapidly increasing in many application areas, such as robotics and medical image analysis. This book explains this new endeavour to explore the augmentation of reduced dimensions in computer vision. This book consists of three parts: basic concepts, techniques, and applications. The first part explains the basic concepts for understanding active illumination techniques. In particular, the basic concepts of optics are explained so that researchers and engineers outside the field can understand the later chapters. The second part explains currently available active illumination techniques, covering many techniques developed by the authors. The final part shows how such active illumination techniques can be applied to various domains, describing the issue to be overcome by active illumination techniques and the advantages of using these techniques. This book is primarily aimed at 4th year undergraduate and 1st year graduate students, and will also help engineers from fields beyond computer vision to use active illumination techniques. Additionally, the book is suitable as course material for technical seminars.

Emerging Topics in Computer Vision and Its Applications

Chi-hau Chen
Emerging Topics in Computer Vision and Its Applications Book PDF

Author : Chi-hau Chen
Publisher : World Scientific
Page : 508 pages
File Size : 46,5 Mb
Release : 2012
Category : Computers
ISBN : 9789814340991

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Emerging Topics in Computer Vision and Its Applications by Chi-hau Chen Pdf

This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted.

Computer Vision

Richard Szeliski
Computer Vision Book PDF

Author : Richard Szeliski
Publisher : Springer Nature
Page : 925 pages
File Size : 50,7 Mb
Release : 2022-01-03
Category : Computers
ISBN : 9783030343729

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Computer Vision by Richard Szeliski Pdf

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Active Vision

Andrew Blake,Alan L. Yuille
Active Vision Book PDF

Author : Andrew Blake,Alan L. Yuille
Publisher : MIT Press (MA)
Page : 368 pages
File Size : 54,9 Mb
Release : 1992
Category : Computers
ISBN : 0262023512

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Active Vision by Andrew Blake,Alan L. Yuille Pdf

Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision. The eighteen chapters in Active Vision draw on traditional work in computer vision over the last two decades, particularly in the use of concepts of geometrical modeling and optical flow; however, they also concentrate on relatively new areas such as control theory, recursive statistical filtering, and dynamical modeling. Active Vision documents a change in emphasis, one that is based on the premise that an observer (human or computer) may be able to understand a visual environment more effectively and efficiently if the sensor interacts with that environment, moving through and around it, culling information selectively, and analyzing visual sensory data purposefully in order to answer specific queries posed by the observer. This method is in marked contrast to the more conventional, passive approach to computer vision where the camera is supposed to take in the whole scene, attempting to make sense of all that it sees. Andrew Blake is Lecturer in Engineering Science at the University of Oxford Alan Yuille is Associate Professor in the Division of Applied Sciences at Harvard University.

Recent Advances in Computer Vision

Mahmoud Hassaballah,Khalid M. Hosny
Recent Advances in Computer Vision Book PDF

Author : Mahmoud Hassaballah,Khalid M. Hosny
Publisher : Springer
Page : 425 pages
File Size : 51,6 Mb
Release : 2018-12-14
Category : Technology & Engineering
ISBN : 9783030030001

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Recent Advances in Computer Vision by Mahmoud Hassaballah,Khalid M. Hosny Pdf

This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.

Time-of-Flight and Structured Light Depth Cameras

Pietro Zanuttigh,Giulio Marin,Carlo Dal Mutto,Fabio Dominio,Ludovico Minto,Guido Maria Cortelazzo
Time of Flight and Structured Light Depth Cameras Book PDF

Author : Pietro Zanuttigh,Giulio Marin,Carlo Dal Mutto,Fabio Dominio,Ludovico Minto,Guido Maria Cortelazzo
Publisher : Springer
Page : 355 pages
File Size : 41,6 Mb
Release : 2016-05-24
Category : Computers
ISBN : 9783319309736

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Time-of-Flight and Structured Light Depth Cameras by Pietro Zanuttigh,Giulio Marin,Carlo Dal Mutto,Fabio Dominio,Ludovico Minto,Guido Maria Cortelazzo Pdf

This book provides a comprehensive overview of the key technologies and applications related to new cameras that have brought 3D data acquisition to the mass market. It covers both the theoretical principles behind the acquisition devices and the practical implementation aspects of the computer vision algorithms needed for the various applications. Real data examples are used in order to show the performances of the various algorithms. The performance and limitations of the depth camera technology are explored, along with an extensive review of the most effective methods for addressing challenges in common applications. Applications covered in specific detail include scene segmentation, 3D scene reconstruction, human pose estimation and tracking and gesture recognition. This book offers students, practitioners and researchers the tools necessary to explore the potential uses of depth data in light of the expanding number of devices available for sale. It explores the impact of these devices on the rapidly growing field of depth-based computer vision.

Color in Computer Vision

Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek
Color in Computer Vision Book PDF

Author : Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek
Publisher : John Wiley & Sons
Page : 315 pages
File Size : 54,6 Mb
Release : 2012-08-14
Category : Technology & Engineering
ISBN : 9781118350065

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Color in Computer Vision by Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek Pdf

While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

Understanding and Applying Machine Vision, Revised and Expanded

Nello Zeuch
Understanding and Applying Machine Vision Revised and Expanded Book PDF

Author : Nello Zeuch
Publisher : CRC Press
Page : 422 pages
File Size : 44,5 Mb
Release : 2000-01-03
Category : Computers
ISBN : 9781040022986

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Understanding and Applying Machine Vision, Revised and Expanded by Nello Zeuch Pdf

A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances of the engineering and system integration of machine vision technology.

Handbook of Machine and Computer Vision

Alexander Hornberg
Handbook of Machine and Computer Vision Book PDF

Author : Alexander Hornberg
Publisher : John Wiley & Sons
Page : 860 pages
File Size : 43,8 Mb
Release : 2017-03-06
Category : Computers
ISBN : 9783527413416

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Handbook of Machine and Computer Vision by Alexander Hornberg Pdf

The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging. Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image processing, including optics, electronics and software. The authors approach the subject in terms of industrial applications, elucidating such topics as illumination and camera calibration. Initial chapters concentrate on the latest hardware aspects, ranging from lenses and camera systems to camera-computer interfaces, with the software necessary discussed to an equal depth in later sections. These include digital image basics as well as image analysis and image processing. The book concludes with extended coverage of industrial applications in optics and electronics, backed by case studies and design strategies for the conception of complete machine vision systems. As a result, readers are not only able to understand the latest systems, but also to plan and evaluate this technology. With more than 500 images and tables to illustrate relevant principles and steps.

Computer Vision Systems

Bernt Schiele,Gerhard Sagerer
Computer Vision Systems Book PDF

Author : Bernt Schiele,Gerhard Sagerer
Publisher : Springer
Page : 313 pages
File Size : 46,7 Mb
Release : 2003-05-15
Category : Computers
ISBN : 9783540482222

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Computer Vision Systems by Bernt Schiele,Gerhard Sagerer Pdf

Following the highly successful International Conference on Computer Vision - stems held in Las Palmas, Spain (ICVS’99), this second International Workshop on Computer Vision Systems, ICVS 2001 was held as an associated workshop of the International Conference on Computer Vision in Vancouver, Canada. The organization of ICVS’99 and ICVS 2001 was motivated by the fact that the - jority of computer vision conferences focus on component technologies. However, Computer Vision has reached a level of maturity that allows us not only to p- form research on individual methods and system components but also to build fully integrated computer vision systems of signi cant complexity. This opens a number of new problems related to system architecture, methods for system synthesis and veri cation, active vision systems, control of perception and - tion, knowledge and system representation, context modeling, cue integration, etc. By focusing on methods and concepts for the construction of fully integrated vision systems, ICVS aims to bring together researchers interested in computer vision systems. Similar to the previous event in Las Palmas, ICVS 2001 was organized as a single-track workshop consisting of high-quality, previously unpublished papers on new and original research on computer vision systems. All contributions were presented orally. A total of 32 papers were submitted and reviewed thoroughly by program committee members. Twenty of them have been selected for p- sentation. We would like to thank all members of the organizing and program committee for their help in putting together a high-quality workshop.

3D Video and Its Applications

Takashi Matsuyama,Shohei Nobuhara,Takeshi Takai,Tony Tung
3D Video and Its Applications Book PDF

Author : Takashi Matsuyama,Shohei Nobuhara,Takeshi Takai,Tony Tung
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 55,9 Mb
Release : 2012-05-31
Category : Computers
ISBN : 9781447141204

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3D Video and Its Applications by Takashi Matsuyama,Shohei Nobuhara,Takeshi Takai,Tony Tung Pdf

This book presents a broad review of state-of-the-art 3D video production technologies and applications. The text opens with a concise introduction to the field, before examining the design and calibration methods for multi-view camera systems, including practical implementation technologies. A range of algorithms are then described for producing 3D video from video data. A selection of 3D video applications are also demonstrated. Features: describes real-time synchronized multi-view video capture, and object tracking with a group of active cameras; discusses geometric and photometric camera calibration, and 3D video studio design with active cameras; examines 3D shape and motion reconstruction, texture mapping and image rendering, and lighting environment estimation; demonstrates attractive 3D visualization, visual contents analysis and editing, 3D body action analysis, and data compression; highlights the remaining challenges and the exciting avenues for future research in 3D video technology.

Biologically Inspired Computer Vision

Gabriel Cristobal,Laurent Perrinet,Matthias S. Keil
Biologically Inspired Computer Vision Book PDF

Author : Gabriel Cristobal,Laurent Perrinet,Matthias S. Keil
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 45,9 Mb
Release : 2015-11-16
Category : Technology & Engineering
ISBN : 9783527412648

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Biologically Inspired Computer Vision by Gabriel Cristobal,Laurent Perrinet,Matthias S. Keil Pdf

As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Boosting-Based Face Detection and Adaptation

Matthieu Salzmann,Pascal Fua
Boosting Based Face Detection and Adaptation Book PDF

Author : Matthieu Salzmann,Pascal Fua
Publisher : Springer Nature
Page : 132 pages
File Size : 46,9 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031018091

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Boosting-Based Face Detection and Adaptation by Matthieu Salzmann,Pascal Fua Pdf

Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view of boosting and the concept of multiple instance learning. We start by describing a boosting learning framework that is capable to handle billions of training examples. It differs from traditional bootstrapping schemes in that no intermediate thresholds need to be set during training, yet the total number of negative examples used for feature selection remains constant and focused (on the poor performing ones). A multiple instance pruning scheme is then adopted to set the intermediate thresholds after boosting learning. This algorithm generates detectors that are both fast and accurate. We then present two multiple instance learning schemes for face detection, multiple instance learning boosting (MILBoost) and winner-take-all multiple category boosting (WTA-McBoost). MILBoost addresses the uncertainty in accurately pinpointing the location of the object being detected, while WTA-McBoost addresses the uncertainty in determining the most appropriate subcategory label for multiview object detection. Both schemes can resolve the ambiguity of the labeling process and reduce outliers during training, which leads to improved detector performances. In many applications, a detector trained with generic data sets may not perform optimally in a new environment. We propose detection adaption, which is a promising solution for this problem. We present an adaptation scheme based on the Taylor expansion of the boosting learning objective function, and we propose to store the second order statistics of the generic training data for future adaptation. We show that with a small amount of labeled data in the new environment, the detector's performance can be greatly improved. We also present two interesting applications where boosting learning was applied successfully. The first application is face verification for filtering and ranking image/video search results on celebrities. We present boosted multi-task learning (MTL), yet another boosting learning algorithm that extends MILBoost with a graphical model. Since the available number of training images for each celebrity may be limited, learning individual classifiers for each person may cause overfitting. MTL jointly learns classifiers for multiple people by sharing a few boosting classifiers in order to avoid overfitting. The second application addresses the need of speaker detection in conference rooms. The goal is to find who is speaking, given a microphone array and a panoramic video of the room. We show that by combining audio and visual features in a boosting framework, we can determine the speaker's position very accurately. Finally, we offer our thoughts on future directions for face detection. Table of Contents: A Brief Survey of the Face Detection Literature / Cascade-based Real-Time Face Detection / Multiple Instance Learning for Face Detection / Detector Adaptation / Other Applications / Conclusions and Future Work

Computer Vision in the Infrared Spectrum

Michael Teutsch,Angel D. Sappa,Riad I. Hammoud
Computer Vision in the Infrared Spectrum Book PDF

Author : Michael Teutsch,Angel D. Sappa,Riad I. Hammoud
Publisher : Morgan & Claypool Publishers
Page : 138 pages
File Size : 40,7 Mb
Release : 2021-10-27
Category : Computers
ISBN : 9781636392424

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Computer Vision in the Infrared Spectrum by Michael Teutsch,Angel D. Sappa,Riad I. Hammoud Pdf

Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible especially in situations, where sensors of other modalities face issues like a visual-optical camera that needs a source of illumination. As a consequence, not only human mistakes can be avoided by increasing the level of automation, but also machine-induced errors can be reduced that, for example, could make a self-driving car crash into a pedestrian under difficult illumination conditions. Furthermore, multi-spectral sensor systems with infrared imagery as one modality are a rich source of information and can provably increase the robustness of many autonomous systems. Applications that can benefit from utilizing infrared imagery range from robotics to automotive and from biometrics to surveillance. In this book, we provide a brief yet concise introduction to the current state-of-the-art of computer vision and machine learning in the infrared spectrum. Based on various popular computer vision tasks such as image enhancement, object detection, or object tracking, we first motivate each task starting from established literature in the visual-optical spectrum. Then, we discuss the differences between processing images and videos in the visual-optical spectrum and the various infrared spectra. An overview of the current literature is provided together with an outlook for each task. Furthermore, available and annotated public datasets and common evaluation methods and metrics are presented. In a separate chapter, popular applications that can greatly benefit from the use of infrared imagery as a data source are presented and discussed. Among them are automatic target recognition, video surveillance, or biometrics including face recognition. Finally, we conclude with recommendations for well-fitting sensor setups and data processing algorithms for certain computer vision tasks. We address this book to prospective researchers and engineers new to the field but also to anyone who wants to get introduced to the challenges and the approaches of computer vision using infrared images or videos. Readers will be able to start their work directly after reading the book supported by a highly comprehensive backlog of recent and relevant literature as well as related infrared datasets including existing evaluation frameworks. Together with consistently decreasing costs for infrared cameras, new fields of application appear and make computer vision in the infrared spectrum a great opportunity to face nowadays scientific and engineering challenges.

Exploratory Vision

Michael S. Landy,Laurence T. Maloney,Misha Pavel
Exploratory Vision Book PDF

Author : Michael S. Landy,Laurence T. Maloney,Misha Pavel
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 45,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461239840

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Exploratory Vision by Michael S. Landy,Laurence T. Maloney,Misha Pavel Pdf

Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This "neuro morphic" or "anthropomorphic" approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems.