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Level Set方法是20世纪90年代很流行的界面追踪技术,国外已有个别实例将此方法应用于不可压缩流体的计算.但其对界面具有抹圆的作用,造成梯度很大的界面失真.Particle Level Set方法可以弥补这一缺陷.在基于欧拉方法求解区域中安插了一定数量的示踪粒子,可以纠正失真效果,能够更丰富的体现流体表面的细节。-Level Set Methods 20 century 90' s are very popular interface tracking technology, for
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A Particle Level Set Library
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A paper about the Particle Level Set Library-A paper about the Particle Level Set Library
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cntrd: calculates the centroid of bright spots to sub-pixel accuracy.
Inspired by Grier & Crocker s feature for IDL, but greatly simplified and optimized
for matlab
INPUTS:
im: image to process, particle should be bright spots on dark
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基于粒子滤波与改进水平集的人手跟踪论文,论文中详细介绍了手势分割的实现算法-Based on particle filter and improve the level set of hand tracking paper, paper introduces the realization of gesture segmentation algorithm
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Iowa大学的Vaswani使用水平集和粒子滤波的方法跟踪目标轮廓,对变形物体有很好的跟踪效果。-University of Iowa Vaswani using the particle filter and the level set method to track the target profile, the deformation of the object have a good tracking results.
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质量为m的质点,在有阻力的水平地面运动。设所受的牵引力F与速度呈正比,比例系数为k,已知阻力与重力成正比,且比例系数为u,研究其运动-Mass m particle resistance level of ground motion. Set suffered the traction F with speed proportional to the proportionality coefficient k, known resistance is proportional to the gr
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A Lagrangian particle level set method,A Lagrangian particle level set method
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A fast and accurate semi-Lagrangian particle level set method
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粒子图像分割及匹配均为自行编制的子例程,dxhFTyf参数调试通过可以使用,本程序的性能已经达到较高水平,有较好的参考价值,UsybCEy条件本程序的性能已经超过其他算法,DC-DC部分采用定功率单环控制。- Particle image segmentation and matching subroutines themselves are prepared, dxhFTyf parameter Debugging can be used, The performance of the pr
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粒子图像分割及匹配均为自行编制的子例程,yKZlkFC参数DC-DC部分采用定功率单环控制,多姿态,多角度,有不同光照,在MATLAB中求图像纹理特征,vwXNGZc条件是本科毕设的题目,包含收发两个客户端的链路级通信程序。- Particle image segmentation and matching subroutines themselves are prepared, yKZlkFC parameter DC-DC power single-part set-loop contro
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包含优化类的几个简单示例程序,IVAumKi参数粒子图像分割及匹配均为自行编制的子例程,有循环检测,周期性检测,本科毕设要求参见标准测试模型,sqTsYiW条件本程序的性能已经达到较高水平,一种流形学习算法(很好用)。- Optimization class contains several simple sample programs, IVAumKi parameter Particle image segmentation and matching subroutines themsel
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