搜索资源列表
Blur-Estimation.rar
- 一种无参数的散焦模糊图像模糊参数的估计算法。,Parameters of a non-defocus blurred image fuzzy parameters estimation algorithm.
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
zengqiang.rar
- 数字减影(DSA:Digital Subtract Angiography)是一种传统的血管可视化技术[1]。这一技术用注射造影剂后的活动图像减去注射造影剂前记录的掩模图像来显示不透明的血管。其期望的结果是在减影后的图像上背景结构被完全消除。,estimation based on background
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
tof
- 很早就提出的深度估计算法，但最近两年，由于TOF制造、生产和应用，基于 tof相机的深度估计开始成为热点，文件是TOF的几个应用资料，希望有用-Very early on the depth estimation algorithm proposed, but the last two years, due to TOF manufacturing, production and application of the depth estimates based on tof the camer
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
yaxiangsu
- 双向亚像素运动估计算法，具体步骤如下： (1) 进行整像素精度的双向运动估计； (2) 以(1)得到的运动矢量所指向的像素点为中心，内插1/2像素点，再进行双向运动估计； 依此类推，直到得到所需的像素精度为止。 -Bi-directional sub-pixel motion estimation algorithm, concrete steps are as follows: (1) for the whole two-pixel accuracy motion estima
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
VideoProcess
- 关于视频的课件，内容全面，包括：视频的各种编码，目标检测，目标运动估计，目标跟踪，视频建模等。-On the video courseware, comprehensive, including: a variety of video encoding, target detection, target motion estimation, target tracking, video modeling.
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
motion
- MPEG-2编码中的运动估计部分，对大家很有用，欢迎下载使用！-MPEG-2 encoding of motion estimation part, useful for all of us are welcome to download!
The Matalab for the least burst error principle
- 基于最小脉组误差准则的运动参数估计方法，该方法运用于调频步进脉冲雷达，解决运动目标速度的估计和补偿问题，可实现对运动目标速度的精确测量-Based on the smallest error guidelines pulse group motion parameter estimation method applied to FM stepper pulse radar to solve the speed of moving target estimation and compensatio
motion
- 是用vc实现的空间域运动估计，很好完成了运动估计，为压缩提供基础-Vc is the realization of the spatial domain motion estimation, completed a very good motion estimation, provide the basis for compression
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
bp-extensions
- 利用belief propagation方法实现的模型优化和参数的估计-Ways to achieve the use of belief propagation model optimization and parameter estimation