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Kategorie szczegółowe BISAC

New Geometric Data Structures for Collision Detection and Haptics

ISBN-13: 9783319010199 / Angielski / Twarda / 2013 / 240 str.

Rene Weller
New Geometric Data Structures for Collision Detection and Haptics Rene Weller 9783319010199 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

New Geometric Data Structures for Collision Detection and Haptics

ISBN-13: 9783319010199 / Angielski / Twarda / 2013 / 240 str.

Rene Weller
cena 201,24
(netto: 191,66 VAT:  5%)

Najniższa cena z 30 dni: 192,74
Termin realizacji zamówienia:
ok. 22 dni roboczych.

Darmowa dostawa!

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.

Kategorie:
Informatyka
Kategorie BISAC:
Computers > Computer Simulation
Computers > User Interfaces
Computers > Programming - Algorithms
Wydawca:
Springer
Seria wydawnicza:
Springer Series on Touch and Haptic Systems
Język:
Angielski
ISBN-13:
9783319010199
Rok wydania:
2013
Wydanie:
2013
Numer serii:
000421161
Ilość stron:
240
Waga:
0.57 kg
Wymiary:
23.39 x 15.6 x 1.91
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

 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.

 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.



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