Academic Journal
Collision Prediction Using MKtrees
العنوان: | Collision Prediction Using MKtrees |
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المؤلفون: | M. Franquesa-Niubo, P. Brunet |
المساهمون: | The Pennsylvania State University CiteSeerX Archives |
المصدر: | http://wscg.zcu.cz/wscg2004/Papers_2004_Short/J71.pdf. |
سنة النشر: | 2004 |
المجموعة: | CiteSeerX |
مصطلحات موضوعية: | Large Environments, Hierarchical Representations, Virtual Reality, Screw motions |
الوصف: | In this paper, the collision prediction between polyhedra under screw motions and a static scene using a new K dimensional tree data structure (Multiresolution Kdtree, MKtree) is introduced. In a complex scene containing a high number of individual objects, the MKtree represents a hierarchical subdivision of the scene objects that guarantees a small space overlap between node regions. The proposed MKtree data structure succeeds in performing simultaneously space and scene subdivision. MKtrees are useful for broad phase collision and proximity detection tests and for time-critical rendering in large environments requiring external memory storage. The paper proposes an efficient broad phase collision prediction algorithm. Examples in ship design applications are presented and discussed. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.8002; http://wscg.zcu.cz/wscg2004/Papers_2004_Short/J71.pdf |
الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.8002 http://wscg.zcu.cz/wscg2004/Papers_2004_Short/J71.pdf |
Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
رقم الانضمام: | edsbas.5717102F |
قاعدة البيانات: | BASE |
الوصف غير متاح. |