搜索资源列表
CNNDEMO
- 卷积人工神经网络，是一种基于深度学习的重要代码为图像的解析提供了很好的应用方向-Convolutional neural network is an important code based on the depth of the study of the code for the image analysis provides a good application direction
61IC_S1950
- 这是一个使用C++编写的基于kinect的人脸识别系统，使用kinect的获取的深度图像进行人脸识别取得了很好的识别效果。-This is a used c++ written a face recognition system based on it, use it to obtain the depth of the image is used to identify the face recognition has obtained the good effect.
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- 基于全卷积网络的场景文本检测,深度学习相关的图像处理文章，比较热门的方向。-Scenario-based text full convolution network detection, the depth of learning-related image processing articles, more popular direction.
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- 基于区域图和深度相似性表征的SAR图像分割，关于深度学习的一个文章，很有代表性，可以参考。-SAR image area map and characterize the depth of similarity based segmentation on a deep learning of the article, very representative, you can refer to.
DMM
- DMMs提取Kinect人体深度动作图像的方法，是一种将深度图像映射到三个正交直角平面的有效方法。-DMMs extraction depth Kinect body movement image method, the depth of the image is an effective way to map three orthogonal Cartesian plane.
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
image-inpainting-depth-map
- 基于深度图像的图像修复算法，首先得到待修复图像的深度图像，然后利用图像的深度图对破损区域进行修复。-Based on the image restoration algorithm of depth image, the depth image of the image to be repaired is obtained, and then the damaged region is repaired by using the depth map of the image.
Accelerating-Depth-Image-Based-Rendering-using-GP
- In this paper, we propose a practical method for hardware- accelerated rendering of the depth image-based representation (DIBR) object, which is defined in MPEG-4 Animation Framework eXtension (AFX). The proposed method overcomes the drawbacks
Depth-Image-Representation-for-Image-Based-Render
- Conventional approaches to render a scene require geometric descr iption such as polygonal meshes, etc and appearance descr iptions such as lights and material properties. To render high quality images such descr iptions, we require very accurat
Depth-image-based-rendering
- This program implements the rendering framework that is used in the paper D. De Silva, W. Fernando, and H. Kodikaraarachchi, “A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF 3D VIDEO,” IEEE International Conference on Acoustics, S
DIBR
- 基于深度图像的视点合成法（DIBR）的源代码实现，matlab版-DIBR source based on the depth of the image point of view synthesis (DIBR) source code, matlab version
attempts--distance-of-2D
- 人们之所以能够看到深度，是因为，来自三维世界的不同视角。本程序尝试从一个2D图像映射并计算对应的3D的距离-People have been able to see the depth, because the three-dimensional world different perspectives. This procedure attempts to distance a 3D and 2D image map calculates the corresponding
toolbox_nyu_depth_v2
- depth estimation of images is done on nyu .webite showa data downloade
depth
- 使用Kinect对深度图像进行采集，使用C++编程实现(The use of Kinect for depth image acquisition, using C++ programming)
BmpPreview
- c++读取bmp图片详解。BMP（全称Bitmap）是Windows操作系统中的标准图像文件格式，可以分成两类：设备相关位图（DDB）和设备无关位图（DIB），使用非常广。它采用位映射存储格式，除了图像深度可选以外，不采用其他任何压缩，因此，BMP文件所占用的空间很大。BMP文件的图像深度可选lbit、4bit、8bit及24bit。BMP文件存储数据时，图像的扫描方式是按从左到右、从下到上的顺序。由于BMP文件格式是Windows环境中交换与图有关的数据的一种标准，因此在Windows环境中运
stereo_modefilt
- 使用matlab去求图像的深度信息，能够完美运行，(Using MATLAB to seek depth information of image)
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)
53607900Autoencoder_Code
- 用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process)
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
1d_RCWA
- 可以画出一维无损耗光栅的衍射效率与光栅深度的图像(The image of diffraction efficiency and grating depth of one-dimensional lossless grating can be drawn.)