搜索资源列表
dense_trajectory_release_v1.2.tar
- 视频描述密集的轨迹 Dense Trajectories Video Descr iption http://cs.brown.edu/~pff/dt/-Dense Trajectories Video Descr iption
DiscreteMultiscale1.2.tar
- 统一离散多尺度优化方法。 Unified Discrete Multiscale Optimization 相关的文章：http://arxiv.org/abs/1204.4867-Unified Discrete Multiscale Optimization
discovercodec_windows-1.1
- DISCOVER-codedc 是目前最好的分布式视频编码框架，找了很久，其结果可以用在自己的程序中。-DISCOVER-codedc consists of an encoder and decoder to compress video data based on the Distributed Video Coding principles. The software with test data can be downloaded at http://www.discoverdv
lbp
- Lbp算法，具体见http://www.cse.oulu.fi/CMV/Downloads/LBPMatlab-LBP algorithm, see http://www.cse.oulu.fi/CMV/Downloads/LBPMatlab
Retinex
- 带色彩恢复的Retine算法，博客配套代码，详细算法及其效果请移步http://blog.csdn.net/bluecol/article/details/45675615-Retine algorithm, blog auxiliary code, please click http://blog.csdn.net/bluecol/article/details/45675615 for its detailed and effect.
Fastest-3-3-Median-Blur
- 最快的3x3中值模糊算法 知名博主：laviewpbt http://www.cnblogs.com/Imageshop/ -Fastest 3-3 Median Blur
BPFA_Denoise_04152010
- 非参贝叶斯字典学习用于图像去噪的matlab代码-BPFA denoising matlab code for the paper nonparametric bayesian dictionary learning for analysis of noisy and incomplete images download http://www.ee.duke/~mzl/Results/BPFAImage/.
sift
- sift代码，非常详细，容易理解,来源于http://www.cs.ubc.ca/~lowe/keypoints/-the code of sift
image-dog
- 这是斯坦福大学深度学习中对于狗的图像处理的相关程序，想要了解更多，下面有网址！-Stanford Dogs Dataset - For more information about the dataset, please visit the dataset website: http://vision.stanford.edu/aditya86/ImageNetDogs/ If you use this dataset in a publica
cvpr15deepcompare-master
- Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks - This package allows researches to apply the described networks to match image patches and extract corresponding patches. We tried to make the code
mscr_1.02
- matlab和C混合编程实现mscr特征提取，来源：http://users.isy.liu.se/cvl/perfo/software/-detect mscr using matlab and c programing. source:http://users.isy.liu.se/cvl/perfo/software/
ser
- 基于三星s3c2440开发板的多道http服务器，运行于linux环境下-Multi-channel http server based on the 2440 development board
rnnlib.tar
- RNNLIB可以用来做语音识别、手写字符识别。由大牛Alex Graves编写，专门做RNN、LSTM的研究。他的主页是http://www.cs.toronto.edu/~graves/-RNNLIB is a recurrent neural network library for sequence labelling problems, such as speech and handwriting recognition.
JPEG_AntiForensic
- 【论文源代码】M. C. Stamm and K. J. R. Liu, Anti-Forensics of Digital Image Compression , IEEE Trans. on Information Forensics and Security, vol. 6, no. 3, pp. 1050 - 1065, Sep. 2011.-This code was written by Matthew C. Stamm at the University of Maryland,
HS
- Horn-Schunck optical flow method Horn, B.K.P., and Schunck, B.G., Determining Optical Flow, AI(17), No. 1-3, August 1981, pp. 185-203 http://dspace.mit.edu/handle/1721.1/6337-Horn-Schunck optical flow method Horn, BKP, and Schunck, BG, Deter
WaSH_Win32Binary
- alpha 形状特征提取算法，是一种新的局部不变特征提取算法，代码由作者提供 WaSH: Weighted Alpha-Shapes Detector Christos Varytimidis, 2012. email : chrisvar@image.ntua.gr url : http://image.ntua.gr/iva/research/wash/ http://image.ntua.gr/iva/chrisvar/-alpha shape feature
deblur_saturation_v0.1
- 这是图像盲去卷积的算法，实际上我们都不能知道图像的psf，因此要先对其进行估计。对于包中给的例子复原的不错。- Matlab code for Deblurring Shaken and Partially Saturated Images Author: Oliver Whyte <oliver.whyte@ens.fr> Version: 0.1 Date: November 20, 2011 Copyright: 2011, Ol
AD_Tsiotsios_Petrou
- This package contains an implementation of the Anisotropic Diffusion algorithm as described in: C. Tsiotsios, M. Petrou, On the choice of the parameters for anisotropic diffusion in image processing, Pattern Recognition (2012), http://dx.doi.org
Kalman-Filtering_Matlab
- Kalman滤波器从原理到实现。例子是对于汽车电压的Kalman滤波。可参考博客http://blog.csdn.net/xiahouzuoxin/article/details/39582483-The theory and realize of Kalman Filtering.This demo is for Automobile Voltimeter Example.Detail can be seen on blog http://blog.csdn.net/xiahouzuoxin/
Edge_detection_toolbox
- 水鹏朗 代码及文献 网站提供其他相关文献代码http://see.xidian.edu.cn/faculty/plshui/resources.htm-Readme of Pakage of Noise-robust Edge Detector using Isotropic and Anisotropic Gaussian Kernels