搜索资源列表
Image-matching
- 用matlab编写的程序，图像匹配和深度图计算程序-Image matching and depth map calculation program
chaifang
- 深度图像中目标检测等； 深度图像中目标检测等；-Depth image detection target depth image detection target depth image detection target
GuidedDepthEnhancement
- Learning Dynamic Guidance for Depth Image Enhancement
SimpleViewer
- 编程环境：VS2010+OpenNI+OpenGL；相机：3D相机；应用：深度图像显示-3D Camera Depth Image Display
depth-xorld
- Visual C++ source code which is used in the image dealing,(Visual c + + source code which is 2 in the image 'dealing.)
shendutuxiangshengcheng
- 通过执行程序，可以实现立体球的深度图像。(The depth image of the stereoscopic sphere can be achieved by executing the program.)
QuadricHandModel-master
- 这是一个基于openGl制作的一个手势识别程序(This is a 3D hand model developed mainly for vision-based hand motion analysis. The hand model is modeled as a set of rigid quadratic surfaces, and has 27 degrees-of-freedom (DoFs) including 6 DoFs of global motion and 21 DoFs
toolbox_nyu_depth_v2
- depth estimation of images is done on nyu .webite showa data downloade
generatePointCloud.cpp.tar
- 采集RGB-D深度图像生成点云矩阵，属于RGB-D SLAM的前端处理过程(Collecting depth image to generate point cloud)
Generate_PointCloud
- 利用深度图像生成点云，并对点云进行简单滤波降采样(Generate a point cloud through depth image, filter and downsample the point cloud)
BinaryStereo-master
- 本程序通过二值化的方式实现图像的立体匹配，计算出深度图像。(This procedure through two values of the image of the stereo matching, calculate the depth image.)
zhuan8
- 主要用于路径规划，程序读入之初，需要先读入Kinect相机拍摄的深度图像。(Mainly used for path planning, the program read at the beginning, you need to read the depth image taken by the Kinect camera.)
dijkstra1
- 用于路径规划，程序初始需要读入Kinect相机拍摄的深度图像(For path planning, the program initially needs to read the depth image taken by the Kinect camera)
3_PointCloud
- 将Kinect的深度图像与彩色图像匹配，并用opengl显示(Matching the depth image of Kinect with color image)
DepthBasics-D2D
- 接上Kinect1.0 后运行该代码，可得到摄像头捕捉到的深度图像(Run the code after Kinect1.0, and get the depth image captured by the camera)
caffe-cvprw15-master
- 基于深度学习框架构建用于快速图像检索的二值哈希编码(Construction of binary hash codes for fast image retrieval based on depth learning framework)
rcnn-depth-master
- 反锐化掩膜技术(Unsharp Masking,UM)又称为模糊蒙片处理，是一种经典的图像边缘增强算法，提高图像的高频分量部分来增强其视觉效果[18,19].反锐化掩模技术最早是应用于摄影技术中，以增强图像的边缘和细节。光学上的操作方法是将聚焦的正片和散焦的负片在底片上进行叠加，结果是增强了正片高频成份，从而增强了轮廓，散焦的负片相当于“模糊”模板（掩模），它与锐化的作用正好相反，因此，该方法被称为反锐化掩模法。(The sharpenmembrane Technology (Unsharp M
watershedSeg-master
- 将分水岭算法用于图像分割，将深度图像数据集成到标记控制的分水岭RGB图像分割算法中(watershed algorithm image segmentation INTEGRATING DEPTH IMAGE DATA INTO MARKER CONTROLLED WATERSHED RGB IMAGE SEGMENTATION ALGORITHM Onur Olgac, Cihan Avci)
KinectDepthViewer
- 在kinect上用c#进行编程，可以实时获取深度图像(Using Kinect to program on c#, we can get the depth image in real time.)
toolbox_nyu_depth_v2
- NYU Depth Dataset V2数据集的开发工具箱，包含计算图片各种特征的matlab文件.如： camera_params.m - Contains the camera parameters for the Kinect used to capture the data. crop_image.m – Crops an image to use only the area when the depth signal is projected. fill_depth_colori