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Can I read New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems) on EtoBox?
New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems) by René Weller (auth.) is a nonfiction available to read on EtoBox.
What is New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems) about?
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
Who reads New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- René Weller (auth.)
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2013
- Language
- EN
- ISBN
- 9783319010205
- Category
- nonfiction
- Subjects
- Computer Science, Science, Photography
Other editions & translations
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