Foundations of Physically Based Modeling and Animation
Author: Donald House
Publisher:
Published: 2017
Total Pages: 382
ISBN-13: 9781315373140
DOWNLOAD EBOOKRead and Download eBook Full
Author: Donald House
Publisher:
Published: 2017
Total Pages: 382
ISBN-13: 9781315373140
DOWNLOAD EBOOKAuthor: Donald House
Publisher: CRC Press
Published: 2016-11-30
Total Pages: 405
ISBN-13: 1482234610
DOWNLOAD EBOOKPhysics forms the basis for many of the motions and behaviors seen in both the real world and in the virtual worlds of animated films, visual effects, and computer games. By describing the underlying physical principles and then creating simulations based on these principles, these computer-generated worlds are brought to life. Physically Based Modeling and Animation goes behind the scenes of computer animation and details the mathematical and algorithmic foundations that are used to determine the behavior underlying the movement of virtual objects and materials. Dr. Donald House and Dr. John Keyser offer an approachable, hands-on view of the equations and programming that form the foundations of this field. They guide readers from the beginnings of modeling and simulation to more advanced techniques, enabling them to master what they need to know in order to understand and create their own animations Emphasizes the underlying concepts of the field, and is not tied to any particular software package, language, or API. Develops concepts in mathematics, physics, numerical methods, and software design in a highly integrated way, enhancing both motivation and understanding. Progressively develops the material over the book, starting from very basic techniques, and building on these to introduce topics of increasing complexity. Motivates the topics by tying the underlying physical and mathematical techniques directly to applications in computer animation.
Author: Donald H. House
Publisher: CRC Press
Published: 2016-11-30
Total Pages: 343
ISBN-13: 1315355817
DOWNLOAD EBOOKPhysics forms the basis for many of the motions and behaviors seen in both the real world and in the virtual worlds of animated films, visual effects, and computer games. By describing the underlying physical principles and then creating simulations based on these principles, these computer-generated worlds are brought to life. Physically Based Modeling and Animation goes behind the scenes of computer animation and details the mathematical and algorithmic foundations that are used to determine the behavior underlying the movement of virtual objects and materials. Dr. Donald House and Dr. John Keyser offer an approachable, hands-on view of the equations and programming that form the foundations of this field. They guide readers from the beginnings of modeling and simulation to more advanced techniques, enabling them to master what they need to know in order to understand and create their own animations
Author: Rick Parent
Publisher: Elsevier
Published: 2007-11-01
Total Pages: 626
ISBN-13: 0080553850
DOWNLOAD EBOOKDriven by the demands of research and the entertainment industry, the techniques of animation are pushed to render increasingly complex objects with ever-greater life-like appearance and motion. This rapid progression of knowledge and technique impacts professional developers, as well as students. Developers must maintain their understanding of conceptual foundations, while their animation tools become ever more complex and specialized. The second edition of Rick Parent's Computer Animation is an excellent resource for the designers who must meet this challenge. The first edition established its reputation as the best technically oriented animation text. This new edition focuses on the many recent developments in animation technology, including fluid animation, human figure animation, and soft body animation. The new edition revises and expands coverage of topics such as quaternions, natural phenomenon, facial animation, and inverse kinematics. The book includes up-to-date discussions of Maya scripting and the Maya C++ API, programming on real-time 3D graphics hardware, collision detection, motion capture, and motion capture data processing. - New up-to-the-moment coverage of hot topics like real-time 3D graphics, collision detection, fluid and soft-body animation and more! - Companion site with animation clips drawn from research & entertainment and code samples - Describes the mathematical and algorithmic foundations of animation that provide the animator with a deep understanding and control of technique
Author: Kenny Erleben
Publisher:
Published: 2005
Total Pages: 817
ISBN-13: 9781584503804
DOWNLOAD EBOOKThe booming computer games and animated movie industries continue to drive the graphics community's seemingly insatiable search for increased realism, believability, ad speed. To achieve the quality expected by audiences of today's games and movies, programmers need to understand and implement physics-based animation. To provide this understanding, this book is written to teach students and practitioners and theory behind the mathematical models and techniques required for physics-based animation. It does not teach the basic principles of animation, but rather how to transform theoretical techniques into practical skills. It details how the mathematical models are derived from physical and mathematical principles, and explains how these mathematical models are solved in an efficient, robust, and stable manner with a computer. This impressive and comprehensive volume covers all the issues involved in physics-based animation, including collision detection, geometry, mechanics, differential equations, matrices, quaternions, and more. There is excellent coverage of collision detection algorithms and a detailed overview of a physics system. In addition, numerous examples are provided along with detailed pseudo code for most of the algorithms. This book is ideal for students of animation, researchers in the field, and professionals working in the games and movie industries. Topics Covered: * The Kinematics: Articulated Figures, Forward and Inverse Kinematics, Motion Interpolation * Multibody Animation: Particle Systems, Continuum Models with Finite Differences, the Finite Element Method, Computational Fluid Dynamics * Collision Detection: Broad and Narrow Phase Collision Detection, Contact Determination, Bounding Volume Hierarchies, Feature-and Volume-Based Algorithms
Author: Murilo G. Coutinho
Publisher: Springer Science & Business Media
Published: 2012-10-08
Total Pages: 402
ISBN-13: 1447144171
DOWNLOAD EBOOKThis book introduces the techniques needed to produce realistic simulations and animations of particle and rigid-body systems. The text focuses on both the theoretical and practical aspects of developing and implementing physically based dynamic-simulation engines. Each chapter examines numerous algorithms, describing their design and analysis in an accessible manner, without sacrificing depth of coverage or mathematical rigor. Features: examines the problem of computing an hierarchical representation of the geometric description of each simulated object, as well as the simulated world; discusses the use of discrete and continuous collision detection to handle thin or fast-moving objects; describes the computational techniques needed for determining all impulsive and contact forces between bodies with multiple simultaneous collisions and contacts; presents techniques that can be used to dynamically simulate articulated rigid bodies; concludes each chapter with exercises.
Author: L.C. Jain
Publisher: IOS Press
Published: 2023-01-31
Total Pages: 668
ISBN-13: 164368373X
DOWNLOAD EBOOKThe technologies applied in design studies vary from basic theories to more application-based systems. Intelligence engineering also plays a significant role in design sciences such as computer-aided industrial design, human factor design, and greenhouse design, and intelligent engineering technologies such as computational technologies, sensing technologies, and video detection encompass both theory and application perspectives. Being multidisciplinary in nature, intelligence engineering promotes cooperation, exchange and discussion between organizations and researchers from diverse fields. This book presents the proceedings of DSIE 2022, the International Symposium on Design Studies and Intelligence Engineering, held in Hangzhou, China, on 29 & 30 October 2022. This annual conference proves a platform for professionals and researchers from industry and academia to exchange and discuss recent advances in the field of design studies and intelligence engineering, inviting renowned experts from around the world to speak on their specialist topics, and allowing for in-depth discussion with presenters. The 189 submissions received were each carefully reviewed by 3 or 4 referees, and the 62 papers accepted for presentation and publication were selected based on their scores. Papers cover a very wide range of topics, from the design of a bachelor apartment, or a children’s backpack for healthy spine development, to interpretable neural symbol learning methods and design elements extraction from point-cloud datasets using deep enhancement learning. Offering a varied overview of recent developments in design and intelligence engineering, this book will be of interest to all those working in the field.
Author: Carlos Alberto Dutra Fraga Filho
Publisher: Springer
Published: 2018-11-30
Total Pages: 167
ISBN-13: 3030007731
DOWNLOAD EBOOKThis book is based on results obtained over a decade of study and research. It questions the use of dynamic molecular models in the continuum scale providing alternative solutions to open problems in the literature. It provides a physical-mathematical understanding of the differential equations that govern fluid flow and energy transport, serving as a reference to the application of Smoothed Particle Hydrodynamics in continuum fluid mechanics and transport phenomena. The physical-mathematical modelling of the problems in the continuum scale and the employment of the SPH method for solving the equations are presented. Examples of applications in continuum fluid mechanics with numerical results and discussions are also provided. This literature defends the concepts of continuum mechanics and the application of boundary treatment techniques that do not violate the laws of physics.
Author: Muhammad Sarfraz
Publisher: BoD – Books on Demand
Published: 2020-05-13
Total Pages: 106
ISBN-13: 1789855993
DOWNLOAD EBOOKDigital imaging is used widely in various real-life applications today. There are a number of potential digital imaging applications that include different areas such as television, photography, robotics, remote sensing, medical diagnosis, reconnaissance, architectural and engineering design, art, crime prevention, geographical information systems, communication, intellectual property, retail catalogs, nudity detection, face finding, industrial, and others. This book is specifically dedicated to digital imaging research, applications, techniques, tools, and algorithms that originate from different fields such as image processing, computer vision, pattern recognition, signal processing, artificial intelligence, intelligent systems, and soft computing. In general, this comprehensive book contains state-of-the-art chapters focusing on the latest developments using theories, methods, approaches, algorithms, analyses, display of images, visual information, and videos.
Author: Gilson Antonio Giraldi
Publisher: Springer Nature
Published: 2023
Total Pages: 173
ISBN-13: 303142333X
DOWNLOAD EBOOKThis book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost. This work starts with a brief review of computability theory, aimed to convince the reader – more specifically, researchers of more traditional areas of mathematical modeling – about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed. The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing. The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches.