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Description: 智能图像处理。结合人眼对景象的感知，深入介绍了智能图像处理的机理。英文。基础性。数据翔实。-intelligent image processing. Combining eye on the scene awareness, in-depth briefings on the intelligent image processing mechanism. English. Foundation. Data informative.
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Size: 4874240 |
Author: 张赢 |
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Description: 深度图像生成：主要用于生成圆球的深度图像，并计算物体的高斯和平均曲率，以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images
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Size: 214016 |
Author: 陈先奎 |
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Description: 深度图像生成：主要用于生成圆球的深度图像，并计算物体的高斯和平均曲率，以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images
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Size: 48128 |
Author: 陈先奎 |
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Description: A module that allows a programmer to display an iplImage at any point of time regardless of its depth or number of channels. The image is viewed in a separate thread in a separate window and supports channel-by-channel viewing and zooming.
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Size: 6144 |
Author: 赖做梦 |
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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: 利用深度信息进行的三维图像的显示和绘制。-depth information for the three-dimensional image display and mapping.
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Size: 122880 |
Author: 翟振刚 |
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Description: Believe propagation is a popular method to achieve combinatorial optimization. This program contains two sets of codes -- image restoration from noisy data and depth estimation from stereo images.-Believe propagation is a popular method to achieve combinatorial optimization. This program contains two sets of codes-- image restoration from noisy data and depth estimation from stereo images.
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Size: 284672 |
Author: Wenmiao Lu |
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Description: 3D depth estimation for visual inspection using wavelet transform modulus maxima
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Size: 1363968 |
Author: neil |
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Description: The VolumeTexture sample illustrates how to use the new volume textures in
Direct3D. Normally, a texture is thought of as a 2D image, which have a
width and a height and whose "texels" are addressed with two coordinate,
tu and tv. Volume textures are the 3D counterparts, with a width, height,
and depth, are are addressed with three coordinates, tu, tv, and tw.
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Size: 16384 |
Author: Phoebuson Ryao |
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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: 这个是我图形学与多媒体的作业，根据二维图像产生三维立体画，表达立体效果的时候利用了图像的灰度值来表达立体深度-This is my graphics and multimedia operations, according to two-dimensional image generated three-dimensional painting, the expression of three-dimensional effect when using the gray scale image to express a three-dimensional depth
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Size: 69632 |
Author: yaokai |
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Description: Depth Map Calculation for a Variable Number of Moving Objects Using Markov Sequential Object Processes
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Size: 632832 |
Author: 孟钢 |
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Description: 流媒体 多视点视频编码 会议论文 清华大学课程指定阅读文献 英文-A Framework for Representation and Processing of Multi-view Video Using the Concept of Layered Depth Image.pdf
Fast Disparity and Motion Estimation for Multi-view Video Coding.pdf
Low-Delay Multiview Video Coding for Free-Viewpoint Video Communication.pdf
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Size: 8501248 |
Author: 张健 |
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Description: 深度图像分析 [孙龙详 程义民 王以孝 孙启彬] 电子工业出版社-depth image analysis
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Size: 9947136 |
Author: wpzhao |
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Description: depth image based rendering (dibr)-depth image based rendering(dibr)
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Size: 4096 |
Author: bkzure |
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Description: 由一幅几何特征的图像生成渐变的深度图像。-Geometric features an image from the gradient of the depth image generation.
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Size: 378880 |
Author: 王晓 |
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Description: 深度图的视点绘制，可以通过它绘制视点，挺有用的，大家可以参考一下-Depth Image Based Stereoscopic View Rendering
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Size: 1418240 |
Author: fanfan |
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Description: 能够很方便的获取场景的深度图像和彩色图像，希望对大家有帮助-depth image
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Size: 131072 |
Author: 卢冰 |
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Description: 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 of the conventional rendering, i.e. it
is slow since it is hardly assisted by graphics hardware and surface lighting is
static. Utilizing the new features of modern graphic processing unit (GPU) and
programmable shader support, we develop an efficient hardware-accelerated
rendering algorithm of depth image-based 3D object. Surface rendering in re-
sponse of varying illumination is performed inside the vertex shader while
adaptive point splatting is performed inside the fragment shader. Experimental
results show that the rendering speed increases considerably compared with the
software-based rendering and the conventional OpenGL-based rendering
method.
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Size: 5890048 |
Author: phonox |
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Description: Conventional approaches to render a scene require geometric description such as polygonal meshes,
etc and appearance descriptions such as lights and material properties. To render high quality images
such descriptions, we require very accurate models and materials. Creating such accurate geo-
metric models of real scenes is a difficult and time consuming problem. Image Based Rendering (IBR)
holds a lot of promise for navigating through a real world scene without modeling it manually. Different
representations have been proposed for IBR in the literature. In this thesis, we explore the Depth Image
representation consisiting of depth maps and texture images a number of viewpoints as a rich and
viable representation for IBR.-Conventional approaches to render a scene require geometric description such as polygonal meshes,
etc and appearance descriptions such as lights and material properties. To render high quality images
such descriptions, we require very accurate models and materials. Creating such accurate geo-
metric models of real scenes is a difficult and time consuming problem. Image Based Rendering (IBR)
holds a lot of promise for navigating through a real world scene without modeling it manually. Different
representations have been proposed for IBR in the literature. In this thesis, we explore the Depth Image
representation consisiting of depth maps and texture images a number of viewpoints as a rich and
viable representation for IBR.
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Size: 1764352 |
Author: phonox |
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