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New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems)

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New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems) Cover

 

Synopses & Reviews

Publisher Comments:

Starting with novel algorithms for optimally updating bounding volume hierarchies of objects undergoing arbitrary deformations, the author presents a new data structure that allows, for the first time, the computation of the penetration volume. The penetration volume is related to the water displacement of the overlapping region, and thus corresponds to a physically motivated and continuous force. The practicability of the approaches used is shown by realizing new applications in the field of robotics and haptics, including a user study that evaluates the influence of the degrees of freedom in complex haptic interactions. New Geometric Data Structures for Collision Detection and Haptics closes by proposing an open source benchmarking suite that evaluates both the performance and the quality of the collision response in order to guarantee a fair comparison of different collision detection algorithms. Required in the fields of computer graphics, physically-based simulations, computer animations, robotics and haptics, collision detection is a fundamental problem that arises every time we interact with virtual objects. Some of the open challenges associated with collision detection include the handling of deformable objects, the stable computation of physically-plausible contact information, and the extremely high frequencies that are required for haptic rendering. New Geometric Data Structures for Collision Detection and Haptics presents new solutions to all of these challenges, and will prove to be a valuable resource for researchers and practitioners of collision detection in the haptics, robotics and computer graphics and animation domains.

Synopsis:

This book features a novel geometric data structure for collision detection at haptic rates between arbitrary rigid objects. It offers a state of the art review of the current data structures for collision detection and presents new applications.

Table of Contents

Series Editors' Foreword.- Preface.- Part I - That was Then, This is Now.- Introduction.- A Brief Overview of Collision Detection.- Part II - Algorithms and Data Structures.- Kinetic Data Structures for Collision Detection.- Sphere Packings for Arbitrary Objects.- Inner Sphere Trees.- Part III - Evaluation and Application.- Evaluation and Analysis of Collision Detection Algorithms.- Applications.- Part IV - Every End is Just a New Beginning.- Epilogue.

Product Details

ISBN:
9783319010199
Author:
Weller, Rene
Publisher:
Springer
Subject:
COLLISION DETECTION
Subject:
Geometric Data Structures
Subject:
Haptics
Subject:
Physically-based Simulation
Subject:
Sphere packings
Subject:
Simulation and Modeling
Subject:
Algorithms
Subject:
User Interfaces and Human Computer Interaction
Subject:
Computers Reference-Simulation
Copyright:
Edition Description:
2013
Series:
Springer Series on Touch and Haptic Systems
Publication Date:
20130928
Binding:
HARDCOVER
Language:
English
Pages:
268
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » Computer Simulation
Computers and Internet » Graphics » Programming
Computers and Internet » Graphics » User Interface
Computers and Internet » Software Engineering » Algorithms
Reference » Science Reference » Technology

New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems) Used Hardcover
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Product details 268 pages Springer - English 9783319010199 Reviews:
"Synopsis" by , This book features a novel geometric data structure for collision detection at haptic rates between arbitrary rigid objects. It offers a state of the art review of the current data structures for collision detection and presents new applications.
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