Computer Vision for Visual Effects

Author: Richard J. Radke
Publisher: Cambridge University Press
ISBN: 9780521766876
Release Date: 2012-11-19
Genre: Business & Economics

This book explores the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television. It describes classical computer vision algorithms and recent developments, features more than 200 original images, and contains in-depth interviews with Hollywood visual effects artists that tie the mathematical concepts to real-world filmmaking.

Computer Vision

Author: Ron Kimmel
Publisher: Springer Science & Business Media
ISBN: 9783642193149
Release Date: 2011-03-14
Genre: Computers

The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.

Computer Vision and Image Processing

Author: Linda Shapiro
Publisher: Academic Press
ISBN: 9780323141567
Release Date: 1992-04-27
Genre: Technology & Engineering

Computer Vision and Image Processing contains review papers from the Computer Vision, Graphics, and Image Processing volume covering a large variety of vision-related topics. Organized into five parts encompassing 26 chapters, the book covers topics on image-level operations and architectures; image representation and recognition; and three-dimensional imaging. The introductory part of this book is concerned with the end-to-end performance of image gathering and processing for high-resolution edge detection. It proposes methods using mathematical morphology to provide a complete edge detection process that may be used with any slope approximating operator. This part also discusses the automatic control of low-level robot vision, presents an image partitioning method suited for parallel implementation, and describes invariant architectures for low-level vision. The subsequent two sections present significant topics on image representation and recognition. Topics covered include the use of the primitives chain code; the geometric properties of the generalized cone; efficient rendering and structural-statistical character recognition algorithms; multi-level thresholding for image segmentation; knowledge-based object recognition system; and shape decomposition method based on perceptual structure. The fourth part describes a rule-based expert system for recovering three-dimensional shape and orientation. A procedure of intensity-guided range sensing to gain insights on the concept of cooperative-and-iterative strategy is also presented in this part. The concluding part contains supplementary texts on texture segmentation using topographic labels and an improved algorithm for labeling connected components in a binary image. Additional algorithms for three-dimensional motion parameter determination and surface tracking in three-dimensional binary images are also provided.

Computer Vision

Author: Jinfeng Yang
Publisher: Springer
ISBN: 9789811073052
Release Date: 2017-12-07
Genre: Computers

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

Visual Effects Society Handbook

Author: Susan Zwerman
Publisher: CRC Press
ISBN: 9781136136146
Release Date: 2012-08-06
Genre: Art

Wisdom from the best and the brightest in the industry, this visual effects bible belongs on the shelf of anyone working in or aspiring to work in VFX. The book covers techniques and solutions all VFX artists/producers/supervisors need to know, from breaking down a script and initial bidding, to digital character creation and compositing of both live-action and CG elements. In-depth lessons on stereoscopic moviemaking, color management and digital intermediates are included, as well as chapters on interactive games and full animation authored by artists from EA and Dreamworks respectively. From predproduction to acquisition to postproduction, every aspect of the VFX production workflow is given prominent coverage. VFX legends such as John Knoll, Mike Fink, and John Erland provide you with invaluable insight and lessons from the set, equipping you with everything you need to know about the entire visual effects workflow. Simply a must-have book for anyone working in or wanting to work in the VFX industry.

digital Visual Effects and Compositing

Author: Jon Gress
Publisher: New Riders
ISBN: 9780133807240
Release Date: 2014-10-20
Genre: Computers

In this latest book in the critically-acclaimed [digital] series from New Riders you’ll learn all of the techniques and skills that will take you from beginner to visual effects (VFX) professional in just one book. Seasoned visual effects producer Jon Gress has refined the teaching of the skills and techniques presented in this book for over a decade to distill them down to the most effective methodology, delivered in a way that’s both fun and easy to understand while being state-of-the-art for industry professionals. You’ll start with a solid understanding of the basics of visual effects and compositing, the fundamentals of bluescreen and greenscreen keying, 3D texturing, cloning, wire & rig removal, rotoscoping, 2D and 3D motion tracking, and matchmoving. And then experiment with a wide range of 2D, 2.5D & 3D visual effects, including 3D CGI, crowd replication, face replacements, faking shadows, reflections and Z depth, atmospheric, smoke, cloud & heat FX, sky replacements, day-for-night and digital 3D HUD FX. Building on this strong foundation of compositing and visual effects, you’ll be prepared for the advanced section of the book which teach skills, such as 2D, 2.5D & 3D digital matte painting and projections, film colorization, particle systems, fluid and rigid body dynamics, full digital environments, digital destruction, advanced lighting and rendering techniques, stereoscopic 3D, 2D to 3D conversions, and expert 3D and Photoshop extraction and modeling techniques that can only be described as magic! Throughout the lessons, you’ll glean insider advice on cutting edge methods that even experienced professionals will find amazing. You’ll learn everything you need to know to begin working in the world of visual effects as an industry professional. • All the info you need to go from beginner to professional in one book • Easily accessible teaching style from an instructor who has helped launch the careers of some of the best-known Hollywood visual effects specialists • Includes companion graphics files and videos to follow along with the lessons

Biologically Motivated Computer Vision

Author: BMCV
Publisher: Springer Science & Business Media
ISBN: 9783540001744
Release Date: 2002-11-13
Genre: Computers

Compiled from the proceedings of the Second International Workshop on Biologically Motivated Computer Vision, BMCV 2002, held in Tubingen, Germany, in November 2002, this volume contains 22 full papers, 37 short papers and 6 invited papers. The papers are organized in topical sections on neurons and features, motion, mid-level vision, recognition - from scenes to neurons, attention, robotics, and cognitive vision.

Computer Vision

Author: Richard Szeliski
Publisher: Springer Science & Business Media
ISBN: 1848829353
Release Date: 2010-09-30
Genre: Computers

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. 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; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. 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.

Computer Vision ECCV 2006

Author: Aleš Leonardis
Publisher: Springer Science & Business Media
ISBN: 9783540338321
Release Date: 2006
Genre: Computer vision


Energy Minimization Methods in Computer Vision and Pattern Recognition

Author: Yuri Boykov
Publisher: Springer Science & Business Media
ISBN: 9783642230936
Release Date: 2011-07-22
Genre: Computers

This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July , 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continuous optimization, segmentation, motion and video, learning and shape analysis.

Combating Bad Weather Part I

Author: Sudipta Mukhopadhyay
Publisher: Morgan & Claypool Publishers
ISBN: 9781627055772
Release Date: 2014-12-01
Genre: Computers

Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the random distribution and high velocities of the raindrops. Fog causes low contrast and whiteness in the image and leads to a shift in the color. This book has studied rain and fog from the perspective of vision. The book has two main goals: 1) removal of rain from videos captured by a moving and static camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorithm is explored. Temporal and spatiotemporal properties of rain pixels are analyzed and using these properties, two rain removal algorithms for the videos captured by a static camera are developed. For the removal of rain, temporal and spatiotemporal algorithms require fewer numbers of consecutive frames which reduces buffer size and delay. These algorithms do not assume the shape, size and velocity of raindrops which make it robust to different rain conditions (i.e., heavy rain, light rain and moderate rain). In a practical situation, there is no ground truth available for rain video. Thus, no reference quality metric is very useful in measuring the efficacy of the rain removal algorithms. Temporal variance and spatiotemporal variance are presented in this book as no reference quality metrics. An efficient rain removal algorithm using meteorological properties of rain is developed. The relation among the orientation of the raindrops, wind velocity and terminal velocity is established. This relation is used in the estimation of shape-based features of the raindrop. Meteorological property-based features helped to discriminate the rain and non-rain pixels. Most of the prior art algorithms are designed for the videos captured by a static camera. The use of global motion compensation with all rain removal algorithms designed for videos captured by static camera results in better accuracy for videos captured by moving camera. Qualitative and quantitative results confirm that probabilistic temporal, spatiotemporal and meteorological algorithms outperformed other prior art algorithms in terms of the perceptual quality, buffer size, execution delay and system cost. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics. Table of Contents: Acknowledgments / Introduction / Analysis of Rain / Dataset and Performance Metrics / Important Rain Detection Algorithms / Probabilistic Approach for Detection and Removal of Rain / Impact of Camera Motion on Detection of Rain / Meteorological Approach for Detection and Removal of Rain from Videos / Conclusion and Scope of Future Work / Bibliography / Authors' Biographies

Visual Effects for Film and Television

Author: Mitch Mitchell
Publisher: Taylor & Francis
ISBN: 9781136054655
Release Date: 2013-07-31
Genre: Performing Arts

* An invaluable insight into the use of visual effects in film and television * Fully illustrated with diagrams to show you step-by-step techniques * Covers visual effects processes from front-of-camera to post-production * Integrated approach to film, video and digital techniques * Redefines the rules of photography so that they can be broken for effects * Shows the line of development from the oldest to the newest processes * A must for cinematographers, editors, designers and students of VFX alike * Everything you need to know to plan and supervise visual effects shots * Essential reading for anyone working in commercials/advertising photography or effects Written by an experienced professional, this manual is the essential guide to understanding the principles and background of modern visual effects. Visual effects are at the forefront of a digital revolution in the film and video industry and are becoming more and more important to movie language. This book teaches the practical techniques and skills required to incorporate effects successfully into both film and television production.

Explosive Effects and Applications

Author: Jonas A. Zukas
Publisher: Springer Science & Business Media
ISBN: 0387955585
Release Date: 2002-11-14
Genre: Science

This is a broad-based text on the fundamentals of explosive behavior and the application of explosives in civil engineering, industrial processes, aerospace applications, and military uses.

Multi Image Analysis

Author: Reinhard Klette
Publisher: Springer
ISBN: 9783540451341
Release Date: 2003-06-29
Genre: Computers

This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision, held at Dagstuhl Castle, Germany, in March 2000. The 20 revised full papers presented have been through two rounds of reviewing, selection, and revision and give a representative assessment of the foundational issues in multiple-image processing. The papers are organized in topical sections on 3D data acquisition and sensor design, multi-image analysis, data fusion in 3D scene description, and applied 3D vision and virtual reality.

Computer Vision ACCV 98

Author: Roland T. Chin
Publisher: Springer Science & Business Media
ISBN: 3540639306
Release Date: 1997
Genre: Computers

These two volumes constitute the refereed proceedings of the Third Asian Conference on Computer Vision, ACCV'98, held in Hong Kong, China, in January 1998. The volumes present together a total of 58 revised full papers and 112 revised posters selected from over 300 submissions. The papers are organized in topical sections on biometry, physics-based vision, color vision, robot vision and navigation, OCR and applications, low-level processing, active vision, face and hand posture recognition, segmentation and grouping, computer vision and virtual reality, motion analysis, and object recognition and modeling.