Academic Journal

Collision Prediction Using MKtrees

التفاصيل البيبلوغرافية
العنوان: Collision Prediction Using MKtrees
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