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Fast filtering algorithms can highly improve the narrow-stage performance of continuous collision detection (CCD). The algorithm by Tang et al. [1] is a fast solution to this problem, which casts it into a geometric constrain. We show that, after slight modification, this earlier work is interestingly equivalent to the recent result by Zhang and Liu [2] that is directly derived from algebraic theorems...
We present a new bounding volume structure, k-IOS that is an intersection of k spheres, for accelerating proximity query including collision detection and Euclidean distance computation between arbitrary polygon-soup models that undergo rigid motion. Our new bounding volume is easy to implement and highly efficient both for its construction and runtime query. In our experiments, we have observed up...
We present a simple and efficient approach for continuous collision detection of deforming triangles based on conservative advancement. The efficiency of our approach is due to a sequence of simple collision-free conditions for deforming triangles. In our experiment, we show that our CCD algorithm achieves 2-30 times performance improvement over existing algorithms for triangle primitives.
Light interaction considering scattering and absorbing is implemented with some simplicity physically. Dead reckoning based calculation is used during the implementation. After the 3D cloud being integrated using cellular automata clouding modeling method, experimental results show that it has realistic effect with fast rendering speed on a common PC. The method in this paper is very suitable for...
When the sample data of zinc mineral body is lack, it is essential to build one visualization model to compute and analyze its reserve by use of its associated copper sample data. In order to calculate the reserve of zinc mineral, the sample data in standard distance is used to compute its experiment variogram and analyze its corresponding structure. Thus, its visualization model was also established...
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