Katsushi Ikeuchi – författare

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16 produkter

Symbolic Visual Learning
AvKatsushi Ikeuchi,Manuela Velosa
Inbunden, Engelska, 1997
2 712 kr
Skickas inom 5-8 vardagar
Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.
Digitally Archiving Cultural Objects
AvKatsushi Ikeuchi,Daisuke Miyazaki
Inbunden, Engelska, 2007
1 614 kr
Skickas inom 10-15 vardagar
A large number of cultural heritage objects around the world are deteriorating or being destroyed due to the work of natural disasters, such as earthquakes and floods, and human-inflicted destruction, such as war and vandalism. In the wake of these threats, 3D data becomes a critical component to permanently recording the shapes of these important objects so that they might be passed down to future generations.Digitally Archiving Cultural Objects describes thorough research and methods for preserving cultural heritage objects through the use of 3D digital data. These methods were developed through using computer vision and computer graphics technologies. This data can also be used for simulation and restoration purposes as well as towards various multimedia applications. This comprehensive book is organized into four parts. Part 1 describes various sensors designed to obtain data. Part 2 contains a collection of papers that describe the geometric pipeline, converting obtained data into a consistent geometric model, through determining relative relations among digital data and connecting those data into a uniform representation. Part 3 concerns photometric issues, including how to map color pictures on a geometric model and how to remove the effect of sunlight in the pictures obtained. Part 4 reports on the effort to establish a digital museum to restore and display the original appearance of heritage objects as well as conduct analyses of obtained data for heritage research.
Digitally Archiving Cultural Objects
AvDaisuke Miyazaki,Katsushi Ikeuchi
E-bok
PDF, Engelska, 2008
2 110 kr
Läs direkt efter köp
A large number of cultural heritage objects around the world are deteriorating or being destroyed due to the work of natural disasters, such as earthquakes and floods, and human-inflicted destruction, such as war and vandalism. In the wake of these threats, 3D data becomes a critical component to permanently recording the shapes of these important objects so that they might be passed down to future generations.
Digitally Archiving Cultural Objects describes thorough research and methods for preserving cultural heritage objects through the use of 3D digital data. These methods were developed through using computer vision and computer graphics technologies. This data can also be used for simulation and restoration purposes as well as towards various multimedia applications.
This comprehensive book is organized into four parts. Part 1 describes various sensors designed to obtain data. Part 2 contains a collection of papers that describe the geometric pipeline, converting obtained data into a consistent geometric model, through determining relative relations among digital data and connecting those data into a uniform representation. Part 3 concerns photometric issues, including how to map color pictures on a geometric model and how to remove the effect of sunlight in the pictures obtained. Part 4 reports on the effort to establish a digital museum to restore and display the original appearance of heritage objects as well as conduct analyses of obtained data for heritage research.
Modeling from Reality
AvKatsushi Ikeuchi,Yoichi Sato
Inbunden, Engelska, 2001
1 124 kr
Skickas inom 10-15 vardagar
This work summarizes the results of the editors' modelling-from-reality (MFR) project, during the 1990s. The goal of this project was to develop techniques for modelling real objects and/or environments into geometric and photometric models through computer vision techniques. By developing such techniques, time- consuming modelling process, currently undertaken by human programmers, can be (semi-) automatically performed, and, as a result, one can drastically shorten the developing time of such virtual reality systems, reduce their developing cost, and widen their application areas. The project was conducted while the authors were at the Computer Science Department of Carnegie Mellon University (CMU) and the Institute of Industrial Science at the University of Tokyo. "Modeling from Reality" is suitable for a secondary text in a graduate-level course, and as a reference for researchers and practitioners in industry.
Digitally Archiving Cultural Objects
AvKatsushi Ikeuchi,Daisuke Miyazaki
Häftad, Engelska, 2010
1 683 kr
Skickas inom 10-15 vardagar
A large number of cultural heritage objects around the world are deteriorating or being destroyed due to the work of natural disasters, such as earthquakes and floods, and human-inflicted destruction, such as war and vandalism. In the wake of these threats, 3D data becomes a critical component to permanently recording the shapes of these important objects so that they might be passed down to future generations.Digitally Archiving Cultural Objects describes thorough research and methods for preserving cultural heritage objects through the use of 3D digital data. These methods were developed through using computer vision and computer graphics technologies. This data can also be used for simulation and restoration purposes as well as towards various multimedia applications. This comprehensive book is organized into four parts. Part 1 describes various sensors designed to obtain data. Part 2 contains a collection of papers that describe the geometric pipeline, converting obtained data into a consistent geometric model, through determining relative relations among digital data and connecting those data into a uniform representation. Part 3 concerns photometric issues, including how to map color pictures on a geometric model and how to remove the effect of sunlight in the pictures obtained. Part 4 reports on the effort to establish a digital museum to restore and display the original appearance of heritage objects as well as conduct analyses of obtained data for heritage research.
Modeling from Reality
AvYoichi Sato,Katsushi Ikeuchi
E-bok
PDF, Engelska, 2012
1 459 kr
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This book summarizes the results of our modeling-from-reality (MFR) project which took place over the last decade or so. The goal of this project is to develop techniques for modeling real objects and/or environments into geometric and photometric models through computer vision techniques. By developing such techniques, time consuming modeling process, currently un dertaken by human programmers, can be (semi-)automatically performed, and, as a result, we can drastically shorten the developing time of such virtual reality systems, reduce their developing cost, and widen their application areas. Originally, we began to develop geometric modeling techniques that acquire shape information of objects/environments for object recognition. Soon, this effort evolved into an independent modeling project, virtual-reality modeling, with the inclusion of photometric modeling aspects that acquire appearance information, such as color, texture, and smoothness. Over the course of this development, it became apparent that environmental modeling techniques were necessary when applying our techniques to mixed realities that seamlessly combine generated virtual models with other real/virtual images. The material in his book covers these aspects of development.
Active Lighting and Its Application for Computer Vision
40 Years of History of Active Lighting Techniques
AvKatsushi Ikeuchi,Yasuyuki Matsushitam. fl.
Inbunden, Engelska, 2020
1 851 kr
Skickas inom 10-15 vardagar
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.
Active Lighting and Its Application for Computer Vision
40 Years of History of Active Lighting Techniques
AvDaisuke Miyazaki,Ryo Furukawam. fl.
E-bok
Engelska, 2020
2 366 kr
Läs direkt efter köp
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.
Active Lighting and Its Application for Computer Vision
40 Years of History of Active Lighting Techniques
AvKatsushi Ikeuchi,Yasuyuki Matsushitam. fl.
Häftad, Engelska, 2021
1 851 kr
Skickas inom 10-15 vardagar
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.
Computer Vision
A Reference Guide
Springer Nature Switzerland AG
2021
9 621 kr
Skickas inom 10-15 vardagar
This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume.Each entry includes synonyms, a definition and discussion of the topic, and a robust bibliography. Extensive cross-references to other entries support efficient, user-friendly searches for immediate access to relevant information. Entries were peer-reviewed by a distinguished international advisory board, both scientifically and geographically diverse, ensuring balanced coverage. Over 3700 bibliographic references for further reading enable deeper exploration into any of the topics covered.The content of Computer Vision: A Reference Guide is expository and tutorial, making the book a practical resource for students who are considering entering the field, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.
Computer Vision
A Reference Guide
AvKatsushi Ikeuchi
E-bok
Engelska, 2021
10 256 kr
Läs direkt efter köp
This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume.
Each entry includes synonyms, a definition and discussion of the topic, and a robust bibliography. Extensive cross-references to other entries support efficient, user-friendly searches for immediate access to relevant information. Entries were peer-reviewed by a distinguished international advisory board, both scientifically and geographically diverse, ensuring balanced coverage. Over 3700 bibliographic references for further reading enable deeper exploration into any of the topics covered.
The content of Computer Vision: A Reference Guide is expository and tutorial, making the book a practical resource for students who are considering entering the field, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.
Learning-from-Observation 2.0
Automatic Acquisition of Robot Behavior from Human Demonstration
AvKatsushi Ikeuchi,Naoki Wakem. fl.
Inbunden, Engelska, 2025
440 kr
Skickas inom 5-8 vardagar
This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the context of historical developments in the area. LfO involves observing human behaviors and generating robot actions that mimic these behaviors. While LfO may appear similar, on the surface, to Imitation Learning (IL) in the machine learning community and Programing-by-Demonstration (PbD) in the robotics community, a significant difference lies in the fact that these methods directly imitate human hand movements, whereas LfO encodes human behaviors into the abstract representations and then maps these representations onto the currently available hardware (individual body) of the robot, thus indirectly mimicking them. This indirect imitation allows for absorbing changes in the surrounding environment and differences in robot hardware. Additionally, by passing through this abstract representation, filtering can occur, distinguishing between important and less important aspects of human behavior, enabling imitation with fewer demonstrations and less demanding demonstrations. The authors have been researching the LfO paradigm for the past decade or so. Previously, the focus was primarily on designing necessary and sufficient task representations to define specific task domains such as assembly of machine parts, knot-tying, and human dance movements. Recent advancements in Generative Pre-trained Transformers (GPT) and RL have led to groundbreaking developments in methods to obtain and map these abstract representations. By utilizing GPT, the authors can automatically generate abstract representations from videos, and by employing RL-trained agent libraries, implementing robot actions becomes more feasible.
Learning-from-Observation 2.0
Automatic Acquisition of Robot Behavior from Human Demonstration
AvKazuhiro Sasabuchi,Jun Takamatsum. fl.
E-bok
Engelska, 2025
553 kr
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This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the context of historical developments in the area. LfO involves observing human behaviors and generating robot actions that mimic these behaviors. While LfO may appear similar, on the surface, to Imitation Learning (IL) in the machine learning community and Programing-by-Demonstration (PbD) in the robotics community, a significant difference lies in the fact that these methods directly imitate human hand movements, whereas LfO encodes human behaviors into the abstract representations and then maps these representations onto the currently available hardware (individual body) of the robot, thus indirectly mimicking them. This indirect imitation allows for absorbing changes in the surrounding environment and differences in robot hardware. Additionally, by passing through this abstract representation, filtering can occur, distinguishing between important and less important aspects of human behavior, enabling imitation with fewer demonstrations and less demanding demonstrations. The authors have been researching the LfO paradigm for the past decade or so. Previously, the focus was primarily on designing necessary and sufficient task representations to define specific task domains such as assembly of machine parts, knot-tying, and human dance movements. Recent advancements in Generative Pre-trained Transformers (GPT) and RL have led to groundbreaking developments in methods to obtain and map these abstract representations. By utilizing GPT, the authors can automatically generate abstract representations from videos, and by employing RL-trained agent libraries, implementing robot actions becomes more feasible.
Del 1 - Augmented Vision and Reality
Machine Vision Beyond Visible Spectrum
AvRiad Hammoud,Guoliang Fanm. fl.
Inbunden, Engelska, 2011
1 634 kr
Skickas inom 10-15 vardagar
The material of this book encompasses many disciplines, including visible,infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, andelectro-optical sensors as well as the very dynamic topics of image processing, computervision and pattern recognition. This book is composed of six parts:* Advanced background modeling for surveillance* Advances in Tracking in Infrared imagery* Methods for Pose estimation in Ultrasound and LWIR imagery* Recognition in multi-spectral and synthetic aperture radar* Fusion of disparate sensors* Smart Sensors
Machine Vision Beyond Visible Spectrum
AvKatsushi Ikeuchi,Robert W. McMillanm. fl.
E-bok
PDF, Engelska, 2011
2 044 kr
Läs direkt efter köp
The material of this book encompasses many disciplines, including visible,
infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and
electro-optical sensors as well as the very dynamic topics of image processing, computer
vision and pattern recognition.
This book is composed of six parts:
* Advanced background modeling for surveillance
* Advances in Tracking in Infrared imagery
* Methods for Pose estimation in Ultrasound and LWIR imagery
* Recognition in multi-spectral and synthetic aperture radar
* Fusion of disparate sensors
* Smart Sensors
Del 1 - Augmented Vision and Reality
Machine Vision Beyond Visible Spectrum
AvRiad Hammoud,Guoliang Fanm. fl.
Häftad, Engelska, 2013
1 634 kr
Skickas inom 10-15 vardagar
The material of this book encompasses many disciplines, including visible,infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, andelectro-optical sensors as well as the very dynamic topics of image processing, computervision and pattern recognition. This book is composed of six parts:* Advanced background modeling for surveillance* Advances in Tracking in Infrared imagery* Methods for Pose estimation in Ultrasound and LWIR imagery* Recognition in multi-spectral and synthetic aperture radar* Fusion of disparate sensors* Smart Sensors

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Katsushi Ikeuchi – författare

Symbolic Visual Learning

Digitally Archiving Cultural Objects

Digitally Archiving Cultural Objects

Modeling from Reality

Digitally Archiving Cultural Objects

Modeling from Reality

Active Lighting and Its Application for Computer Vision

Active Lighting and Its Application for Computer Vision

Active Lighting and Its Application for Computer Vision

Computer Vision

Computer Vision

Learning-from-Observation 2.0

Learning-from-Observation 2.0

Machine Vision Beyond Visible Spectrum

Machine Vision Beyond Visible Spectrum

Machine Vision Beyond Visible Spectrum

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