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Description: 深度图象的生成 生成圆球的深度图象（摄像机坐标系）和深度图象数据存储；
这是本人的深度图像分析的课程作业，vc编写，包括原代码，可执行程序，以及试验报告。-depth Image Generation Generation magnificently depth images (camera coordinate system) and the depth of image data storage; This is my depth analysis of the images courses operations, vc preparation, including source code, executables, and the test report.
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Size: 81284 |
Author: 田东剑 |
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Description: 通过CDibData可以装载、保存、转换深度等图象操作，可以修改某一个象素单元-through CDibData can carry, keep, depth of image conversion operation, one can modify a pixel modules
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Size: 57884 |
Author: 王建英 |
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Description: 关于深度图像重建、分析的综述，英文版，很全面。-depth of image reconstruction, analysis overview, in English, very comprehensive.
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Size: 3413799 |
Author: wangyi |
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Description: 如果你想对图像的处理有一个比较深入的了解,我想你可能有必要对这本书进行十分细致而深入的学习-If you want to deal with the right image for a more in-depth understanding, I think you might be necessary for this book is very detailed and in-depth study
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Size: 33792 |
Author: 何杰 |
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Description: 深度图象的生成 生成圆球的深度图象（摄像机坐标系）和深度图象数据存储；
这是本人的深度图像分析的课程作业，vc编写，包括原代码，可执行程序，以及试验报告。-depth Image Generation Generation magnificently depth images (camera coordinate system) and the depth of image data storage; This is my depth analysis of the images courses operations, vc preparation, including source code, executables, and the test report.
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Size: 1995776 |
Author: 田东剑 |
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Description: 一种高效深度图像重建方法的论文。有具体算法和实验结果。-an efficient method of image reconstruction depth papers. Specific algorithm and experimental results.
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Size: 499712 |
Author: wangyi |
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Description: 什么是深度图像----what is range image-What is the depth of the image what is range image
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Size: 208896 |
Author: gmae |
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Description: 由生成的深度图象数据用平滑算子和差分方法求曲面的高斯曲率和平均曲率-By the depth of image data generated by a smooth operator and the difference method for the Gaussian curvature surface and the average curvature
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Size: 1024 |
Author: 吕娴娜 |
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Description: 图的深度优先遍利 图的深度优先搜寻法 有注释-Fig times the depth of Victoria map priority depth-first search method has the Notes
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Size: 1024 |
Author: mailan7749 |
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Description: 仿射变换法求深度信息，目前最好的方法
function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im)
gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。
函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22] = diffusion_kernel_function (gx, gy, im) gx, gy for x, y direction of the partial derivative of Z is out to restore the depth of information. Function adapted from the image information to resume a high degree of information law
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Size: 1024 |
Author: chengyue |
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Description: Stanford University大学教授，Ng近年来的11篇论文，主要研究方向为估测图像中物深度信息。-Stanford University University Professor, Ng of the 11 papers in recent years, the main research directions for the estimation of image depth information objects.
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Size: 1306624 |
Author: 珍 |
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Description: 深度搜索，可将边缘断点连接起来，多用于图像分割中和边缘检测结合使用-Depth of search, could be the edge connecting the breakpoints are used for image segmentation and edge detection used in conjunction
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Size: 1024 |
Author: shenyong |
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Description: 多媒体技术的发展和视觉信息的飞速膨胀迫切需要对视觉信息资源的有效管理和检索。由此，基于内容的图像和视频检索技术得到了越来越多的重视，成为了多媒体信息检索和图像处理领域中的重要研究方向。CBIR技术将对大规模图像信息的管理和访问提供有力支持。
本文这种介绍了内容图像检索的灰度特征实现方法，具有理论意义和实际应用价值。针对基于内容图像检索技术进行了研究，介绍了其研究现状和关键技术，讨论了其技术瓶颈和发展趋势。共生矩阵法，是对图像的所有像元进行统计调查，以便描述其灰度分布的一种方法。分析了这种基于广义图像灰度共生矩阵的图像检索方法，该方法首先将原图像作平滑处理得到平滑图像，然后将原图像和平滑图像组合得到广义图像灰度共生矩阵，提取该矩阵的统计特征量，最后将该统计量组成归一化向量用以检索。
实验结果表明，本方法的效果要优于单纯的灰度共生矩阵法。在对相似图像检索时，该算法与基于共生矩阵的经典算法相当，在面临同一图像大小显著改变或发生旋转的情况下，该算法明显优于经典算法。相比较而言，该算法提高了检索的有效性。
-The development of multimedia technology and the expansion of visual information，which cries for the effective management and retrieval methods of visual information. Thus, the image and video searching technology based on content is gaining more and more attention to become a multimedia information retrieval and image processing in the field of important research direction. The technology of CBIR provides effective supports for the management and access of extensive image information.
This paper introduced the content of the image retrieval method characteristics of gray, with theoretical and practical value. This paper does an extensive and in-depth study of technology based on content image retrieval to, presenting their research status and key technologies, discussing its development trends and technological bottlenecks. Co-occurrence matrix of all the pixel image survey has been conducted in order to describe a method of distribution of gray. This paper analyses this broad-based
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Size: 570368 |
Author: qichao |
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Description: 在对图像数字水印和图像压缩技术进行深入研究的同时，提
出了在图像压缩域内同时嵌入一个鲁棒水印和一个脆弱水印的双水
印方案-esides researching on the image digital watermarking
and image compression technology in—depth，the thesis has put forward a
method to embed a robust and af
ragile watermark in the compression
domain of the image．
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Size: 6725632 |
Author: 丫丫 |
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Description: matlab读图像和图像信息，函数imread可以从任何Matlab支持的图像文件格式中，以任意位深度读取一幅图像。-matlab read images and image information, the function imread Matlab support from any image file format to read any bit depth of an image.
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Size: 8192 |
Author: 董 |
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Description: Algorithm to find Depth of Image
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Size: 2583552 |
Author: EHSAN |
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Description: 影像匹配中的若干基本问题研究 深入研究影像匹配的问题-Image matching in-depth study of a number of basic problems of image matching problem
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Size: 345088 |
Author: 汪松 |
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Description: 实现kinect 的深度图像显示
The kinect depth of image display -The kinect depth of image display
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Size: 20480 |
Author: 杜福顺 |
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Description: Depth of field calculator based on 2D digital image correlation data , Depth of field calculator based on 2D digital image correlation data-Depth of field calculator based on 2D digital image correlation data , Depth of field calculator based on 2D digital image correlation data
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Size: 887808 |
Author: Ashraf Ahmed |
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Description: Single image haze removal has been a challenging
problem due to its ill-posed nature. In this paper, we propose a
simple but powerful color attenuation prior for haze removal from
a single input hazy image. By creating a linear model for modeling
the scene depth of the hazy image under this novel prior and
learning the parameters of the model with a supervised learning
method, the depth information can be well recovered.
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Size: 2496512 |
Author: Deep123
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