搜索资源列表
PCL-1.6-sources
- PCL（Point Cloud Library）是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库，它实现了大量点云相关的通用算法和高效数据结构，涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。这里是PCL1.6的例子源码-PCL (Point Cloud Library) is on the basis of absorbing the predecessors Point Cloud related research to build a
KWFLICM
- we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and th
GMM
- 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For c
fuzzy
- Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitat
pca
- 用于运动捕获数据的降维，可以提取极值点，进行关键帧提取或运动分割-Dimensionality reduction for motion capture data can be extracted extreme points, keyframe extraction or motion segmentation
find_peak
- 用于运动捕获数据降维后寻找极值点，可以找到极大值以及极小值点-Dimensionality reduction for motion capture data can be extracted extreme points, keyframe extraction or motion segmentation
13_30
- 运动捕获数据周期运动，用于做运动分割或关键帧提取-Motion capture data periodic motion, used to make motion segmentation or keyframe extraction
kdtree_search
- k-d树是一种分割k维数据空间的数据结构。主要应用于多维空间关键数据的搜索-kd tree is a k-dimensional data structure segmentation data space. Mainly used in multi-dimensional space-critical data search
GASeg
- 基于遗传神经网络的图像分割算法，包含有测试数据和图像，效果不错-Image segmentation algorithm based on genetic neural network, contains test data and images, good results ~~~
wjfg
- 分割文件程序。打开文件，读取一定长度的数据，写到文件，程序支持：需要 辅助调试支持库 的支持-File segmentation procedure. Open the file, read a certain length data, file, program support: the need for auxiliary debugging support library support
pdschconformncetet
- Long-Term Evolution (LTE) is a new standard speci ed by 3GPP for fourth generation (4G) wireless communications. LTE provides high spectral eciency, high peak data rates, short round trip time, and frequency exibility. It relies on the follow
filtersegment
- 多导联脑电数据的滤波与分段，要参考实验标签进行分段，滤波参数可修改-Multi-lead EEG filtering and segmentation data, to refer to the experimental label segment, the filter parameters can be modified
KLMAN
- 简单来说，卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-In simple terms, the Kalman filter is an optimal recurs
TGVSHCS
- This Matlab/C code contains routines to perform level set image segmentation according to: (1) various multiphase (multiregion) formulations, including a fast scheme where the computation load grows linearly with the number of regions and,
Pcl_object_recognition
- 基于PCL库的图像实时识别，PCL（Point Cloud Library）是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库，它实现了大量点云相关的通用算法和高效数据结构，涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。支持多种操作系统平台，可在Windows、Linux、Android、Mac OS X、部分嵌入式实时系统上运行-Image library based on real-time identification PCL, PCL
sc-based-on-k-means
- 谱聚类，基于k均值的聚类方法，能够分割高维空间的数据点，-Spectral clustering based on k-means clustering method, it is possible segmentation data point of the high-dimensional space,
octr-(1)
- Vector quantization (VQ) is one of the lossy data compression techniques[1], [2] and has been used in number of applications, like pattern recognition [3], speech recognition and face detection [4], [5], image segmentation [6-9], speech data
syzlsearch_v2.5
- 基于Lucene开发的站内搜索解决方案，其集成专为站内搜索设计的细粒度中文分词，有效兼顾搜准和搜全率，无缝支持多种数据库数据汇入索引，支持全站,资讯,博客等多类型同时搜索,支持按相关度/时间检索,支持按时间过滤搜索-Based on Lucene development of the station search solution, its integration is designed for the station search and design of fine-grained Chin
waveform-k_medoids
- 数据挖掘作业：编程实现PAM对部分waveform数据集中加20 的高斯噪声， 同时对一副噪声图像进行分割。-Data mining job: programming on the part of the PWM waveform data sets plus a 20 Gaussian noise, While a noise image segmentation.
dnqcinhb
- 是一种双隐层反向传播神经网络，nhEDNli参数调试通过可以使用，粒子图像分割及匹配均为自行编制的子例程，本程序的性能已经达到较高水平，RtVdsXf条件matlab程序运行时导入数据文件作为输入参数，有详细的注释。- Is a two hidden layer back propagation neural network, nhEDNli parameter Debugging can be used, Particle image segmentation and matching su