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LineMatchingSourceCode
- 图像匹配是图像处理的基本问题，同时也一个难点，本代码是基于直线描述子的场景匹配。-Line segment matching plays an important role in image processing and computer vision, while it remains a challenging task for images under various transformations. In this work, we present a line matching alg
Cognitive_femtoCell
- This folder Contains one file file of code of cognitive femtocell, second computing distance and third also computing path loss. We consider smart “cognitive” femtocells, that can decode the base station control channel and make decision on the
HellokinectMAT
- 感知行为的影响因素包括单个关节的动作和不同关节的组态。因此提出一种新的基于关节的位置差异的特征类型，联合包括静态姿势、动作、位移在内的行为信息进行识别。采用关节在两个时间和空间区域的差异来明确地模拟个别关节动力学和不同关节的组态。然后应用主成分分析（PCA）来获得所需的特征。同时应用非参数的简捷的贝叶斯最近邻（NBNN）分类器进行多类行为的分类。这个NBNN分类器避免了帧描述符的量化，计算“图像到类别”的距离而不是“图像到图像”的距离。15到20帧的数据就足以实现手势以及动作的识别，无需应用整个
exampler
- Region filling and object removal by exempler based image inpainting
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- 基于区域生长的图像分割方法，在图像分类中很有帮助-Image segmentation based on region growing method, useful in image classification
HC
- 本代码是程明明2011发表的文章 基于全局对比度的显著性区域检测，其中HC部分的matlab 实现代码，经本人测试，证明有效。-this code is for Global Contrast based Salient Region Detection（CVPR2011）,Histogram Contrast.
Superpixel-saliency
- 基于区域的超像素显著性检测，一篇关于基于超像素的显著性图像分析的文章，将超像素很好的应用于图像分割中。c++代码实现-Significant super pixels detection based on region, the significance of an article about, based on very pixel image analysis, super good pixels was applied to image segmentation.C++ code
face_detection
- 基于matlab的简单人脸识别，这里通过对人脸图像打上网格，对区域块图像做二值分析，通过像素比例来做处理。进而得到人脸区域。-A simple matlab based face recognition, the face image of a grid, the two value image through the analysis of the regional block, the proportion of pixels to process. To get the face regi
lsb
- 基于matlab的简单人脸识别，这里通过对人脸图像打上网格，对区域块图像做二值分析，通过像素比例来做处理。进而得到人脸区域。-A simple matlab based face recognition, the face image of a grid, the two value image through the analysis of the regional block, the proportion of pixels to process. To get the face reg
detection
- 基于matlab的简单人脸识别，这里通过对人脸图像打上网格，对区域块图像做二值分析，通过像素比例来做处理。进而得到人脸区域。-A simple matlab based face recognition, the face image of a grid, the two value image through the analysis of the regional block, the proportion of pixels to process. To get the face regi
jiqirenbanyun
- 1、搬运机器人的设计模拟了工业自动化过程中，自动化车间材料搬运的实际工作过程。要求设计一个基于8位单片机的小型机器人，在给定场地中移动，将不同颜色的物块分类搬运到对应的区域。搬运效果用位置精度和搬运时间来评判。 2、搬运场地如图1所示，搬运难度分为三个等级：L级随机抽取三种颜色的物块依次放在A、C、E三个位置；M级随机抽取四种颜色的物块依次放在A、B、D、E四个位置；H级将五种颜色的物料块随机放置在A、B、C、D、E五个位置。要求小车最后要回到出发区域并停止。 -1, a robot d
123
- 基于区域生长的图像分割，选取生长点，回车即可得到相应的分割图像-Image segmentation based on region growing, growing point selected, press Enter to give the corresponding segmented image
Lab_quyuzengzhang
- 基于LAB颜色空间的区域生长分割方法，大家共同学习-LAB color space region segmentation method based growth, learn together
regionGrowing
- 基于区域生长的图像分割，带例程。效果不错。-iamge segmentation based on region growing。
skin_modle
- 实现基于肤色模板的人脸区域检测，检测不分人种，程序代码有注释，适合初学者-Realization of human facial region detection based on skin color template, testing, regardless of race, code notes, suitable for beginners
Image_Segmentation_Base_On_Domain
- 区域增长方法是根据同一物体区域内象素的相似性质来聚集象素点的方法，从初始区域（如小邻域或甚至于每个象素）开始，将相邻的具有同样性质的象素或其它区域归并到目前的区域中从而逐步增长区域，直至没有可以归并的点或其它小区域为止。区域内象素的相似性度量可以包括平均灰度值、纹理、颜色等信息。-Region growing method is based on similar properties in the same region within the object pixel to pixel aggr
regionGrow
- 基于种子点8-领域的区域生长算法，程序运行后，会弹出一个包含原图像的窗口，用户可以用鼠标在其中选取一个种子点并下“Enter”键，之后会出现分割结果-Region growing algorithm based on seeds point 8- field, after the program is running, will pop up a window contains the original image, in which the user can use the mouse to
Edge-Following
- Edge following algorithm If it is known that an object in an image has a discrete edge all around it, it is then possible to follow the edge around the object and get back to the beginning. It is assumed that a position on the edge of a region h
SaliencyCVPR2011Chinese
- 基于全局对比度的显著性区域检测（中文翻译版）-Global Contrast based Salient Region Detection.
SaliencyNew
- This software pertains to the research described in the CVPR 2012 paper: Saliency Filters: Contrast Based Filtering for Salient Region Detection,