What can simple brains teach us about how vision works

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Publisher : Frontiers Media SA
ISBN 13 : 288919678X
Total Pages : 292 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis What can simple brains teach us about how vision works by : Davide Zoccolan

Download or read book What can simple brains teach us about how vision works written by Davide Zoccolan and published by Frontiers Media SA. This book was released on 2015-11-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vision is the process of extracting behaviorally-relevant information from patterns of light that fall on retina as the eyes sample the outside world. Traditionally, nonhuman primates (macaque monkeys, in particular) have been viewed by many as the animal model-of-choice for investigating the neuronal substrates of visual processing, not only because their visual systems closely mirror our own, but also because it is often assumed that “simpler” brains lack advanced visual processing machinery. However, this narrow view of visual neuroscience ignores the fact that vision is widely distributed throughout the animal kingdom, enabling a wide repertoire of complex behaviors in species from insects to birds, fish, and mammals. Recent years have seen a resurgence of interest in alternative animal models for vision research, especially rodents. This resurgence is partly due to the availability of increasingly powerful experimental approaches (e.g., optogenetics and two-photon imaging) that are challenging to apply to their full potential in primates. Meanwhile, even more phylogenetically distant species such as birds, fish, and insects have long been workhorse animal models for gaining insight into the core computations underlying visual processing. In many cases, these animal models are valuable precisely because their visual systems are simpler than the primate visual system. Simpler systems are often easier to understand, and studying a diversity of neuronal systems that achieve similar functions can focus attention on those computational principles that are universal and essential. This Research Topic provides a survey of the state of the art in the use of animal models of visual functions that are alternative to macaques. It includes original research, methods articles, reviews, and opinions that exploit a variety of animal models (including rodents, birds, fishes and insects, as well as small New World monkey, the marmoset) to investigate visual function. The experimental approaches covered by these studies range from psychophysics and electrophysiology to histology and genetics, testifying to the richness and depth of visual neuroscience in non-macaque species.

Visual Object Recognition

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598299689
Total Pages : 184 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Visual Object Recognition by : Kristen Grauman

Download or read book Visual Object Recognition written by Kristen Grauman and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Applications of Invariance in Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540582403
Total Pages : 536 pages
Book Rating : 4.5/5 (824 download)

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Book Synopsis Applications of Invariance in Computer Vision by : Joseph L. Mundy

Download or read book Applications of Invariance in Computer Vision written by Joseph L. Mundy and published by Springer Science & Business Media. This book was released on 1994-07-20 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the proceedings of the Second Joint European-US Workshop on Applications of Invariance to Computer Vision, held at Ponta Delgada, Azores, Portugal in October 1993. The book contains 25 carefully refereed papers by distinguished researchers. The papers cover all relevant foundational aspects of geometric and algebraic invariance as well as applications to computer vision, particularly to recovery and reconstruction, object recognition, scene analysis, robotic navigation, and statistical analysis. In total, the collection of papers, together with an introductory survey by the editors, impressively documents that geometry, in its different variants, is the most successful and ubiquitous tool in computer vision.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608457281
Total Pages : 172 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Representations and Techniques for 3D Object Recognition and Scene Interpretation by : Derek Hoiem

Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions

Computer Vision

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Publisher : Springer
ISBN 13 : 9780387307718
Total Pages : 0 pages
Book Rating : 4.3/5 (77 download)

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Book Synopsis Computer Vision by :

Download or read book Computer Vision written by and published by Springer. This book was released on 2014-04-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Toward Category-Level Object Recognition

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Publisher : Springer
ISBN 13 : 3540687955
Total Pages : 622 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Toward Category-Level Object Recognition by : Jean Ponce

Download or read book Toward Category-Level Object Recognition written by Jean Ponce and published by Springer. This book was released on 2007-01-25 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Geometric Invariance in Computer Vision

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Publisher :
ISBN 13 :
Total Pages : 568 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Geometric Invariance in Computer Vision by : Joseph L. Mundy

Download or read book Geometric Invariance in Computer Vision written by Joseph L. Mundy and published by . This book was released on 1992 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: These twenty-three contributions focus on the most recent developments in the rapidly evolving field of geometric invariants and their application to computer vision. The introduction summarizes the basics of invariant theory, discusses how invariants are related to problems in computer vision, and looks at the future possibilities, particularly the notion that invariant analysis might provide a solution to the elusive problem of recognizing general curved 3D objects from an arbitrary viewpoint. The remaining chapters consist of original papers that present important developments as well as tutorial articles that provide useful background material. These chapters are grouped into categories covering algebraic invariants, nonalgebraic invariants, invariants of multiple views, and applications. An appendix provides an extensive introduction to projective geometry and its applications to basic problems in computer vision.

Advanced Concepts for Intelligent Vision Systems

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Publisher : Springer
ISBN 13 : 3642046975
Total Pages : 760 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advanced Concepts for Intelligent Vision Systems by : Wilfried Philips

Download or read book Advanced Concepts for Intelligent Vision Systems written by Wilfried Philips and published by Springer. This book was released on 2009-09-30 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009, held in Bordeaux, France in September/October 2009. The 43 revised full papers and 25 posters presented were carefully reviewed and selected from 115 submissions. The papers are organized in topical sections on technovision, fundamental mathematical techniques, image processing, coding and filtering, image and video analysis, computer vision, tracking, color, multispectral and special-purpose imaging, medical imaging, and biometrics.

Handbook of Object Novelty Recognition

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Publisher : Academic Press
ISBN 13 : 0128120142
Total Pages : 602 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Object Novelty Recognition by :

Download or read book Handbook of Object Novelty Recognition written by and published by Academic Press. This book was released on 2018-11-16 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Object Novelty Recognition, Volume 26, synthesizes the empirical and theoretical advances in the field of object recognition and memory that have occurred since the development of the spontaneous object recognition task. The book is divided into four sections, covering vision and perception of object features and attributions, definitions of concepts that are associated with object recognition, the influence of brain lesions and drugs on various memory functions and processes, and models of neuropsychiatric disorders based on spontaneous object recognition tasks. A final section covers genetic and developmental studies and gender and hormone studies. - Details the brain structures and the neural circuits that underlie memory of objects, including vision and olfaction - Provides a thorough description of the object novelty recognition task, variations on the basic task, and methods and techniques to help researchers avoid common pitfalls - Assists researchers in understanding all aspects of object memory, conducting object novelty recognition tests, and producing reliable, reproducible results

Moments and Moment Invariants in Pattern Recognition

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Publisher : John Wiley & Sons
ISBN 13 : 9780470684764
Total Pages : 312 pages
Book Rating : 4.6/5 (847 download)

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Book Synopsis Moments and Moment Invariants in Pattern Recognition by : Jan Flusser

Download or read book Moments and Moment Invariants in Pattern Recognition written by Jan Flusser and published by John Wiley & Sons. This book was released on 2009-11-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey of both recent and traditional image analysis and pattern recognition methods, based on image moments, and offers new concepts of invariants to linear filtering and implicit invariants. In addition to the theory, attention is paid to efficient algorithms for moment computation in a discrete domain, and to computational aspects of orthogonal moments. The authors also illustrate the theory through practical examples, demonstrating moment invariants in real applications across computer vision, remote sensing and medical imaging. Key features: Presents a systematic review of the basic definitions and properties of moments covering geometric moments and complex moments. Considers invariants to traditional transforms – translation, rotation, scaling, and affine transform - from a new point of view, which offers new possibilities of designing optimal sets of invariants. Reviews and extends a recent field of invariants with respect to convolution/blurring. Introduces implicit moment invariants as a tool for recognizing elastically deformed objects. Compares various classes of orthogonal moments (Legendre, Zernike, Fourier-Mellin, Chebyshev, among others) and demonstrates their application to image reconstruction from moments. Offers comprehensive advice on the construction of various invariants illustrated with practical examples. Includes an accompanying website providing efficient numerical algorithms for moment computation and for constructing invariants of various kinds, with about 250 slides suitable for a graduate university course. Moments and Moment Invariants in Pattern Recognition is ideal for researchers and engineers involved in pattern recognition in medical imaging, remote sensing, robotics and computer vision. Post graduate students in image processing and pattern recognition will also find the book of interest.

Automatic Object Recognition

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Publisher :
ISBN 13 :
Total Pages : 284 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Automatic Object Recognition by :

Download or read book Automatic Object Recognition written by and published by . This book was released on 1996 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Shape Perception in Human and Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 144715195X
Total Pages : 505 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Shape Perception in Human and Computer Vision by : Sven J. Dickinson

Download or read book Shape Perception in Human and Computer Vision written by Sven J. Dickinson and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.

Advances in Automation and Robotics, Vol.2

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Publisher : Springer Science & Business Media
ISBN 13 : 3642256465
Total Pages : 646 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Automation and Robotics, Vol.2 by : Gary Lee

Download or read book Advances in Automation and Robotics, Vol.2 written by Gary Lee and published by Springer Science & Business Media. This book was released on 2011-11-20 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The international conference on Automation and Robotics-ICAR2011 is held during December 12-13, 2011 in Dubai, UAE. The proceedings of ICAR2011 have been published by Springer Lecture Notes in Electrical Engineering, which include 163 excellent papers selected from more than 400 submitted papers. The conference is intended to bring together the researchers and engineers/technologists working in different aspects of intelligent control systems and optimization, robotics and automation, signal processing, sensors, systems modeling and control, industrial engineering, production and management. This part of proceedings includes 82 papers contributed by many researchers in relevant topic areas covered at ICAR2011 from various countries such as France, Japan, USA, Korea and China etc. The session topic of this proceeding is signal processing and industrial engineering, production and management, which includes papers about signal reconstruction, mechanical sensors, real-time systems control system identification, change detection problems, business process modeling, production planning, scheduling and control, computer-based manufacturing technologies, systems modeling and simulation, facilities planning and management, quality control and management, precision engineering, intelligent design and manufacturing. The papers in this proceedings focus on industry engineering to promote efficiency and affect for the world, which typically showed their advanced research work recently in their various field. I am sure that discussing with many colleagues will give much more creative idea for each other on ICAR2011. All of papers with powerful evidence and detail demonstration involved the authors’ numerous time and energy will be proved valuable by their unexhausted exploring sprit. Sincere thanks to the committee and all the authors, in additionally, including anonymous reviewers from many fields and organizations. They pointed out us direction to go on research work for the world.

Agile Autonomy: Learning High-Speed Vision-Based Flight

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Publisher : Springer Nature
ISBN 13 : 3031272889
Total Pages : 69 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Agile Autonomy: Learning High-Speed Vision-Based Flight by : Antonio Loquercio

Download or read book Agile Autonomy: Learning High-Speed Vision-Based Flight written by Antonio Loquercio and published by Springer Nature. This book was released on 2023-04-24 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.

Group and Crowd Behavior for Computer Vision

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Publisher : Academic Press
ISBN 13 : 0128092807
Total Pages : 440 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Group and Crowd Behavior for Computer Vision by : Vittorio Murino

Download or read book Group and Crowd Behavior for Computer Vision written by Vittorio Murino and published by Academic Press. This book was released on 2017-04-18 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Group and Crowd Behavior for Computer Vision provides a multidisciplinary perspective on how to solve the problem of group and crowd analysis and modeling, combining insights from the social sciences with technological ideas in computer vision and pattern recognition. The book answers many unresolved issues in group and crowd behavior, with Part One providing an introduction to the problems of analyzing groups and crowds that stresses that they should not be considered as completely diverse entities, but as an aggregation of people. Part Two focuses on features and representations with the aim of recognizing the presence of groups and crowds in image and video data. It discusses low level processing methods to individuate when and where a group or crowd is placed in the scene, spanning from the use of people detectors toward more ad-hoc strategies to individuate group and crowd formations. Part Three discusses methods for analyzing the behavior of groups and the crowd once they have been detected, showing how to extract semantic information, predicting/tracking the movement of a group, the formation or disaggregation of a group/crowd and the identification of different kinds of groups/crowds depending on their behavior. The final section focuses on identifying and promoting datasets for group/crowd analysis and modeling, presenting and discussing metrics for evaluating the pros and cons of the various models and methods. This book gives computer vision researcher techniques for segmentation and grouping, tracking and reasoning for solving group and crowd modeling and analysis, as well as more general problems in computer vision and machine learning. - Presents the first book to cover the topic of modeling and analysis of groups in computer vision - Discusses the topics of group and crowd modeling from a cross-disciplinary perspective, using social science anthropological theories translated into computer vision algorithms - Focuses on group and crowd analysis metrics - Discusses real industrial systems dealing with the problem of analyzing groups and crowds

Visual Form

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Publisher : Springer Science & Business Media
ISBN 13 : 1489907157
Total Pages : 637 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Visual Form by : C. Arcelli

Download or read book Visual Form written by C. Arcelli and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the papers presented at the International Workshop on Visual Fonn, held in Capri (Italy) on May 27-30, 1991. The workshop, sponsored by the International Association for Pattern Recognition (!APR), has been jointly organized by the Dipartimento di Infonnatica e Sisternistica of the University of Naples and the Istituto di Cibemetica of the National Research Council of Italy, and has focussed on Shape. Shape is a distinctive feature of most patterns, so that recognition can often be attained through shape discrimination. The organizers of the workshop shared the general feeling manifested by researchers, that it was time for holding a meeting exclusively devoted to a feature so crucial for both human and machine perception. During this meeting, problems and prospects in the field of 2D and 3D shape analysis could be discussed extensively, so as to provide an effective, updated picture of the current research activity in which shape plays a central role. Indeed, many highly qualified researchers in the field positively reacted to the Call for Papers.

Frontiers in robotics and AI editor’s picks 2022

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Publisher : Frontiers Media SA
ISBN 13 : 2889668916
Total Pages : 202 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Frontiers in robotics and AI editor’s picks 2022 by : Kostas J. Kyriakopoulos

Download or read book Frontiers in robotics and AI editor’s picks 2022 written by Kostas J. Kyriakopoulos and published by Frontiers Media SA. This book was released on 2023-03-10 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: