【siggraph2012专题*技术论文】连续碰撞力

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据介绍：



这是浙江大学和UNC Chapel Hill，URJC Madria的合作成果，使用了一种连续方法替代传统的惩罚法。



这个工作是他们早期碰撞检测工作向碰撞响应方向的延伸，非常简单和优雅的想法。



Continuous Penalty Forces
by Min Tang1, Dinesh Manocha2, Miguel A. Otaduy3 and Ruofeng Tong1.


web3D纳金网www.narkii.com



附件包含论文的PDF和一个视频。30M的样子，自己下载一下。



1 - Zhejiang University, China
2 - University of North Carolina at Chapel Hill, USA
3 - URJC Madrid, Spain


Figure 1: Sticking and penetration problems: We highlight sticking and penetration problems in the Chain Benchmark (a)(14.3k triangles, 60fps) and the Rings Benchmark (b)(7.4k triangles, 35fps) with traditional penalty methods. Our novel continuous penalty force formulation can alleviate these problems based on continuous collision and force computation.
Abstract
We present a simple algorithm to compute continuous penalty forces to determine collision response between rigid and deformable models bounded by triangle meshes. Our algorithm provides a well-behaved solution in contrast to the traditional stability and robustness problems of penalty methods, induced by force discontinuities. We trace contact features along their deforming trajectories and accumulate penalty forces along the penetration time intervals between the overlapping feature pairs. Moreover, we present a closed-form expression to compute the continuous and smooth collision response. Our method has very small additional overhead compared to previous penalty methods, while significantly improves the stability and robustness. We highlight its benefits on several benchmarks.

Contents
Paper  (PDF 834 KB)

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（纳金网网友们，有的论文PDF实在太大，只好给地址了：http://gamma.cs.unc.edu/volccd/ccf/）





相关的论文目录：



UNC dynamic model benchmark repository
VolCCD: Fast Continuous Collision Culling between Deforming Volume Meshes

Collision-Streams: Fast GPU-based Collision Detection for Deformable Models

Fast Continuous Collision Detection using Deforming Non-Penetration Filters
Interactive Continuous Collision Detection between Deformable Models using Connectivity-Based Culling
MCCD: Multi-Core Collision Detection between Deformable Models using Front-Based Decomposition
Fast Collision Detection for Deformable Models using Representative-Triangles
DeformCD: Collision Detection between Deforming Objects
Interactive Collision Detection between Deformable Models using Chromatic Decomposition
Fast Proximity Computation Among Deformable Models using Discrete Voronoi Diagrams
CULLIDE: Interactive Collision Detection between Complex Models using Graphics Hardware
RCULLIDE: Fast and Reliable Collision Culling using Graphics Processors
Quick-CULLIDE: Efficient Inter- and Intra-Object Collision Culling using Graphics Hardware
Collision Detection
UNC GAMMA Group





在线翻译：

　

　　UNC动态模型基准存储库

　　VolCCD:快速连续碰撞变形体积网格之间的扑杀

　　

　　

　　碰撞流:快速的碰撞检测都可变形模型

　　

　　

　　快速连续碰撞检测使用变形非渗透过滤器

　　

　　交互式连续碰撞检测的可变形模型之间使用连接性基础扑杀

　　

　　MCCD:多核碰撞检测可变形模型之间使用基于前面分解

　　

　　快速碰撞Detec

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