资源列表
simple_flip2d
- 模拟2d物体，生动形象,opengl例子-2d simulation objects and vivid
opencv245
- opencv +java 人脸检测不错的程序-face detection opencv+java good program
Image-segmentation-method
- 图像的区域分割法 经测试可以运行 手动获得种子-Image segmentation method
graphchop
- 英国sussex大学图像研究所James Malcolm博士写的Graphchop，matlab+C++环境可以运行-British Institute of Image sussex university, Dr. James Malcolm wrote Graphchop, matlab+C++ environment can be run
higher-order-energy.tar
- (iccv11)Graph Cut Higher-Order MRF，马尔科夫随机场的高阶能量优化。-(Iccv11) Graph Cut Higher-Order MRF, Markov random high-level energy optimization.
vector-quantization
- 用MATLAB或C语言实现码本训练和矢量量化算法，并给出量化结果-Using MATLAB or C language training and codebook vector quantization algorithm, and gives quantitative results
(ok)NHLIScode
- Tae Hoon Kim教授的Nonparametric Higher-Order Learning for Interactive Segmentation源码-Tae Hoon Kim, Professor Nonparametric Higher-Order Learning for Interactive Segmentation
msers
- MSER(删诞mauy stable extremal re舀ons)算法，提出一种对图像的尺度、旋转、仿 射变换更加稳定的区域不变量提取的算法。对于输入图像采用多尺度MSER提取算法，并对 提取的MsERS依据其灰度变换的平稳性对提取区域进行修正。提高了区域提取的可重复性 和匹配概率。-MSER (delete birth mauy stable extremal re scoop ons) algorithm is proposed to image the scale, rot
codeCVPR09fixed
- A Tensor-Based Algorithm for High-Order Graph Matching 张量空间上的高阶能力优化-A Tensor-Based Algorithm for High-Order Graph Matching tensor space optimization of high-level capabilities
struct_predict_smooth_v1.342
- Daniel Munoz的论文Contextual Classification with Functional Max-Margin Markov Networks-Daniel Munoz paper Contextual Classification with Functional Max-Margin Markov Networks
MRF-SAR-segment
- 对SAR图像分割 用马尔科夫随机长进行的。可以任意输入类别数目-For SAR image segmentation using Markov old airport
thresholdtestdemo
- 本程序作用:载入图像信号,使用小波变换,比较显示不同阈值下的重构图像及相关信息 -This program functions: load image signal using wavelet transform, comparison shows that different thresholds reconstructed image and related information