Majumder / Meenakshisundaram / Gopi Introduction to Visual Computing

Core Concepts in Computer Vision, Graphics, and Image Processing
1. Auflage 2018
ISBN: 978-1-4822-4492-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 392 Seiten

This book covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating digital images. Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, color and the image synthesis pipeline.

Zielgruppe

This book is intended for computer graphics and vision professionals. It also would be useful to advanced undergraduate or graduate students in computer science.

Autoren/Hrsg.

Majumder, Aditi

Meenakshisundaram, Gopi

Gopi, M.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning

Inhaltsverzeichnis

I FUNDAMENTALS

Data

Visualization

Discretization

Representation

Noise



Techniques

Interpolation

Geometric Intersections



II IMAGE BASED VISUAL COMPUTING
Convolution

Linear Systems

Linear Filters

Implementation Details



Spectral Analysis

Discrete Fourier Transform

Polar Notation

Periodicity of Frequency Domain

Aliasing

Extension for 2D Interpretation

Duality



Feature Detection

Edge Detection

Feature Detection

Other Non-Linear Filters



III GEOMETRIC VISUAL COMPUTING

Geometric Transformations

Homogeneous Coordinates

Linear Transformations

Euclidean and A_ne Transformations

Concatenation of Transformations

Coordinate Systems

Properties of Concatenation

Projective Transformation

Degrees of Freedom

Non-Linear Transformations



The Pinhole Camera

The Model

Considerations in the Practical Camera



Epipolar Geometry

Background

Correspondences in Multi-View Geometry

Fundamental Matrix

Essential Matrix

Recti_cation

Applying Epipolar Geometry



IV RADIOMETRIC VISUAL COMPUTING

Light

Radiometry

Photometry and Color



Color Reproduction

Modeling Additive Color Mixtures

Color Management

Modeling Subtractive Color Mixture

Limitations



Photometric Processing

Histogram Processing

Image Composition

Photometric Stereo



V VISUAL CONTENT SYNTHESIS

The Diverse Domain

Modeling

Processing

Rendering

Application



Interactive Graphics pipeline

Geometric Transformation of Vertices

Clipping and Vertex Interpolation of Attributes

Rasterization and Pixel Interpolation of Attributes



Realism and Performance

Illumination

Shading

Shadows

Texture Mapping

Bump Mapping

Environment Mapping

Transparency

Accumulation Buffer

Back Face Culling

Visibility Culling



Graphics Programming

Development of Graphics Processing Unit

Development of Graphics APIs and Libraries

The Modern GPU and CUDA

Über Autor(innen)

Aditi Majumder, Ph.D., is professor at the Department of Computer Science in University of California, Irvine. Her research focuses on novel displays and cameras exploring new degrees of freedom and quality while keeping them truly commodity, easily accessible to the common man. She has more than 50 pub- lications in top venues like ACM Siggraph, Eurographics, IEEE Visweek, and more. She has served as Associate Editor in Computer and Graphics and IEEE Computer Graphics and Applications, and has played a key role in developing the first curved screen multi-projector display being marketed by NEC/Alienware currently and was an advisor at Disney Imagineering for advances in their projection based theme park rides.

Among the awards she has received are the Faculty Research Incentive Award and Faculty Research Midcareer Award in the School of Information and Computer Science in UCI, and the NSF CAREER award in 2009 for Ubiquitous Displays Via a Distributed Framework.

Gopi Meenakshisundaram is a professor of Computer Science and Associate Dean at the Bren School of Information and Computer Sciences at University of California, Irvine. His research interests include geometry and topology in computer graphics, massive geometry data management for interactive rendering, and biomedical sensors, data processing, and visualization. His work on representation of mani- folds using single triangle strip, hierarchyless simplification of triangulated man- ifolds, use of redundant representation for big data for interactive rendering, and biomedical image processing have received critical acclaim including best paper awards in two Eurographics conferences and in ICVGIP.

He is a gold medalist for academic excellence at Thiagarajar College of Engineering, a recipient of the Excellence in Teaching Award at UCI and a Link Foundation Fellow. He served as the program co-chair and papers co-chair of ACM Interactive 3D Graphics conference in 2012 and 2013 respectively, area chair for ICVGIP in 2010 and 2012, program co-chair for International Symposium on Visual Computing 2006, an associate editor of the Journal of Graphical Models, a guest editor of IEEE Transactions on Visualization and Computer Graphics and serves in the steering committee of ACM Interactive 3D Graphics.