Handbook of Mathematical Models in Computer Vision
Handbook of Mathematical Models in Computer Vision

Author: Nikos Paragios

Publisher: Springer Science & Business Media

Published: 2006-01-16

Total Pages: 612

ISBN-13: 0387288317

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Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.

Shape from Shading
Shape from Shading

Author: Berthold Horn

Publisher: MIT Press (MA)

Published: 1979

Total Pages: 577

ISBN-13: 9780262081832

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Understanding how the shape of a three dimensional object may be recovered from shading in a two-dimensional image of the object is one of the most important - and still unresolved - problems in machine vision. Although this important subfield is now in its second decade, this book is the first to provide a comprehensive review of shape from shading. It brings together all of the seminal papers on the subject, shows how recent work relates to more traditional approaches, and provides a comprehensive annotated bibliography. The book's 17 chapters cover: Surface Descriptions from Stereo and Shading. Shape and Source from Shading. The Eikonal Equation: some Results Applicable to Computer Vision. A Method for Enforcing Integrability in Shape from Shading Algorithms. Obtaining Shape from Shading Information. The Variational Approach to Shape from Shading. Calculating the Reflectance Map. Numerical Shape from Shading and Occluding Boundaries. Photometric Invariants Related to Solid Shape. Improved Methods of Estimating Shape from Shading Using the Light Source Coordinate System. A Provably Convergent Algorithm for Shape from Shading. Recovering Three Dimensional Shape from a Single Image of Curved Objects. Perception of Solid Shape from Shading. Local Shading Analysis Pentland. Radarclinometry for the Venus Radar Mapper. Photometric Method for Determining Surface Orientation from Multiple Images. Berthold K. P. Horn is Professor of Electrical Engineering and Computer Science at MIT. He has presided over the field of machine vision for more than a decade and is the author of Robot Vision. Michael Brooks is Reader in Computer Science at The Flinders University of South Australia. Shape from Shading is included in the Artificial Intelligence series, edited by Michael Brady, Daniel Bobrow, and Randall Davis.

Advances in Photometric 3D-Reconstruction
Advances in Photometric 3D-Reconstruction

Author: Jean-Denis Durou

Publisher: Springer Nature

Published: 2020-09-16

Total Pages: 239

ISBN-13: 3030518663

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This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.

Shape Perception in Human and Computer Vision
Shape Perception in Human and Computer Vision

Author: Sven J. Dickinson

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 505

ISBN-13: 144715195X

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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.

One Zentangle A Day
One Zentangle A Day

Author: Beckah Krahula

Publisher:

Published: 2012-11

Total Pages: 128

ISBN-13: 1592538118

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One Zentangle A Day is a beautiful interactive book teaching the principles of Zentangles as well as offering fun, related drawing exercises. Zentangles are a new trend in the drawing and paper arts world. The concept was started by Rick Roberts and Maria Thomas as a way to practice focus and meditation through drawing, by using repetitive lines, marks, circles, and shapes. Each mark is called a "tangle," and you combine various tangles into patterns to create "tiles" or small square drawings. This step-by-step book is divided into 6 chapters, each with 7 daily exercises. Each exercise includes new tangles to draw in sketchbooks, teaches daily tile design, and offers tips on related art principles, and contains an inspirational "ZIA" (Zentangle Inspired Art) project on a tile that incorporates patterns, art principals, and new techniques.

Computer Vision--ECCV '92
Computer Vision--ECCV '92

Author: Giulio Sandini

Publisher: Springer Science & Business Media

Published: 1992-04-29

Total Pages: 932

ISBN-13: 9783540554264

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This volume collects the papers accepted for presentation at the Second European Conference on Computer Vision, held in Santa Margherita Ligure, Italy, May 19-22, 1992. Sixteen long papers, 41 short papers and 48 posters were selected from 308 submissions. The contributions are structured into 14 sections reflecting the major research topics in computer vision currently investigated worldwide. The sections are entitled: features, color, calibration and matching, depth, stereo-motion, tracking, active vision, binocular heads, curved surfaces and objects, reconstruction and shape, recognition, and applications.

Hybrid Intelligent Systems
Hybrid Intelligent Systems

Author: Ajith Abraham

Publisher: Springer Nature

Published: 2021-04-16

Total Pages: 817

ISBN-13: 3030730506

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This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.

Face Processing: Advanced Modeling and Methods
Face Processing: Advanced Modeling and Methods

Author: Wenyi Zhao

Publisher: Elsevier

Published: 2011-07-28

Total Pages: 755

ISBN-13: 0080488846

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Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume. Face Processing: Advanced Modeling and Methods begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to computer. The second deals with face modeling from computational and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing. - Contributions from over 35 leading experts in face detection, recognition and image processing - Over 150 informative images with 16 images in FULL COLOR illustrate and offer insight into the most up-to-date advanced face processing methods and techniques - Extensive detail makes this a need-to-own book for all involved with image and signal processing

Drawing: Faces
Drawing: Faces

Author: Walter Foster

Publisher: Walter Foster Publishing

Published: 2020-03-03

Total Pages: 45

ISBN-13: 1633228398

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With Drawing: Faces, learn to draw detailed, realistic human faces in graphite pencil from basic shapes. Successfully drawing the human face is one of the most challenging, yet rewarding, artistic experiences. With a wealth of detailed step-by-step projects to both re-create and admire, this 10.25 × 13.75–inch book teaches the basics of drawing human facial features with graphite pencil. In addition to the step-by-step drawing projects, Faces includes information on choosing art materials, building with basic shapes, placing proportionate features, defining facial expression, and shading to develop form and realism. Discover how to render a variety of faces with simple instructions and tips on how to adapt your drawings for varied angles and emotions. Acclaimed artist Walter T. Foster shares his personal methods for rendering the human face in all its expressiveness as he introduces tips and techniques for approaching babies, children, teenagers, and adults of all ages. Easy-to-follow demonstrations and helpful techniques for drawing correct head and facial proportions, eyes, noses, lips, and ears make this book a necessary addition to every artist’s library of drawing references. Designed for beginners, the How to Draw & Paint series offers easy-to-follow guides that introduce artists to basic tools and materials and include simple step-by-step lessons for a variety of projects suitable for the aspiring artist. Drawing: Faces allows artists to develop drawing skills by demonstrating how to start with basic shapes and use pencil and shading techniques to create varied textures, values, and details for a realistic, completed portrait drawing. Drawing faces can be a challenge, but with this step-by-step guide, you’ll be rendering realistic portraits in no time.

Handbook of Image Processing and Computer Vision
Handbook of Image Processing and Computer Vision

Author: Arcangelo Distante

Publisher: Springer Nature

Published: 2020-06-08

Total Pages: 694

ISBN-13: 3030423786

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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.