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视频序列运动补偿matlab实现
- 视频序列运动估计，补偿算法。还可实现背景渐变的运动图像中运动目标分割。希望对大有帮助。-video sequences motion estimation, compensation algorithm. Gradualism can achieve background of the image moving object segmentation. Hope to assist.
PSD.rar
- 求功率谱估计常用的几种方法，包括周期图法，Welch 法，和AR模型法。,For power spectrum estimation commonly used in several ways, including periodogram, Welch law, and the AR model.
poppe_humaneva_code.zip
- 人体检测matlab程序。主要用来处理humanEva数据集。,The code is mainly to evaluate the Example-based Pose Estimation on the HumanEva sets. This work is published in CVPR – EHuM workshop, June 2007.
StereoRegion1.zip
- 基于区域的立体匹配算法 本算法从两幅彩色立体图像对中提取深度信息，使用过滤器消除视差图深度估计中的不稳定性。,Region Based Stereo Matching Algorithms region based stereo matching algorithms are developed for extraction depth information from two color stereo image pair. A filter eliminating unrelia
mc_matlab.rar
- matlab实现,视频序列运动估计，补偿算法。,matlab realized, video sequences motion estimation and compensation algorithm.
GGD
- 自己编写的matlab程序，用于广义高斯分布的形状参数估计。-Matlab have written procedures for the generalized Gaussian distribution shape parameter estimation.
HBMA
- This function calculate block motion vectors (with integer pel accuracy), using hierarchical block matching algorithm. ％An example of main function calling this function is "MEMBA", which can be entered on the command window. ％The function also u
gg_mle
- 广义高斯概率分布函数的指数估计，包括矩估计和最大似然估计，并对这两种估计进行了比较-exponential cosfficients estimation for generalized Gaussian pdf，include moment estimator and Maximum Likehood estimator.
whole_search_and_three-step_search
- 用matlab实现了图像通信中的全搜索算法与三步搜索算法这两种运动估值算法，给出了运动矢量图，对两种方法的计算复杂度和搜索性能进行了客观的比较。-Matlab image communication achieved by the full search algorithm in the three-step search algorithm with the two motion estimation algorithms, given the movement vector, the com
MatlabFns
- 用于图像处理的matlab工具包，由Peter Kovesi制作，主要包含特征提取，各项异性滤波，灰度转换、图像去噪等，对图像处理的人来说非常有用。 -MATLAB and Octave Functions for Computer Vision and Image Processing， including: Feature Detection via Phase Congruency Spatial Feature Detection Integral Im
demosaic
- 解Demosaici，使用连续逼近的方法！-Motion-compensated (MC) video coding has been dominating in the past decades. From MPEG-1/2 to MPEG-4, H.263 and the latest H.264, we have witnessed that the accumulative improvement of MC video coding. However, what lacks in th
motion-estimation
- 图像中Up-conversion算法 使用运动估计来进行宏块估计，其中使用双向运动估计来提取信息-Up-conversion of images using motion estimation algorithm for macroblock estimates, which use bi-directional motion estimation to extract the information
curveletdenoise
- curvelet变换贝叶斯估计方法，用于估计含噪声图像的噪声参数。再对图像进行去噪处理-curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing
AFastBlock2matchingMotionEstimationAlgorithm
- 为了减小运动估计算法的计算复杂度及提高视频压缩编码的效率,提出了一种新的快速、有效的块匹配运 动估计算法.-In order to reduce the motion estimation algorithm of the computational complexity and improve the efficiency of video compression coding, a new fast and effective block-matching motion estimat
BlockMatchingAlgorithmsforMotionEstimation
- 】在对目前运动估计快速块匹配算法研究的基础上, 描述了运动估计的基本原理 揭示了提高运动估计效率的关键技术, 并对相关的算法进行了分析和比较 提出了运动估计算法今后的研究方向。-] In the current fast block-matching motion estimation algorithm based on the descr iption of the basic principles of motion estimation revealed to enhance the e
icassp061
- 指出了粒子滤波在多维估计中的应用以及相关一些关键结技术，有参考价值。-Pointed out that the particle filter in the multi-dimensional estimation of some of the key node and related technology, a valuable reference.
yundongguji3
- 这是运动补偿编码的运动估计检测，非常的常用，而且很实用-This is the motion compensation coding motion estimation detection, is very common, and very practical
optical_flow
- 用于光流估计，可以利用EXAMPLE进行演示-For optical flow estimation, can be used to carry out demonstration EXAMPLE
MATLAB
- OFDM系统同步中的定时估计算法，主要使用了极大似然估计法。此程序实现极大似然估计法定时的程序。-OFDM system, synchronization of timing estimation algorithm, the main use of maximum likelihood estimation method. Realize this procedure maximum likelihood estimation when the statutory procedures.
optical_flow
- Phase-based Opic Flow Algorithm, described in Gautama, T. and Van Hulle, M.M. [2002]. A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering. IEEE Trans. Neural Networks, 13[5], 1127--1136.- Phase-based