Description: 图像的纹理分析方法(从图像、图形融合的思想出发 ，介绍了基于图像分析的表面形状恢复及纹理
三维特征获取方法，并将其应用于图形建模和纹理映射．首先利用不同视点下的遮挡
边缘序列，并结合其它视觉信息的分析，获取了表面点的三维几何坐标，实现了基于
图像分析的表面形状绘制．接着利用阴影分析方法，提取纹理图像的表面起伏特征，
将该特征结合像素点的颜色属性，进行图形纹理映射，实现了基于图像特征分析的图
形纹理生成．实验结果证明了图像、图形融合思路的可行性和有效性及图像、图形融
合方法的巨大潜力．)
-image texture analysis methods (from the images, graphics integration of thinking is introduced, based on image analysis of the surface texture and shape recovery obtain three-dimensional feature, which can be used for graphical modeling and texture mapping. The first to use different view of shading sequence and combine other visual the analysis of information, access to a 3D surface geometry point coordinates and realized the image analysis based on the shape of the surface mapping. then use shadow analysis to extract the image texture features undulating surface and combine it with the color attribute, graphics texture mapping, image-based achievement features graphics texture generation. experimental results show the images, graphics integration ideas on the feasibility and effectivene Platform: |
Size: 3542088 |
Author:wfw |
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Description: 图像的纹理分析方法(从图像、图形融合的思想出发 ，介绍了基于图像分析的表面形状恢复及纹理
三维特征获取方法，并将其应用于图形建模和纹理映射．首先利用不同视点下的遮挡
边缘序列，并结合其它视觉信息的分析，获取了表面点的三维几何坐标，实现了基于
图像分析的表面形状绘制．接着利用阴影分析方法，提取纹理图像的表面起伏特征，
将该特征结合像素点的颜色属性，进行图形纹理映射，实现了基于图像特征分析的图
形纹理生成．实验结果证明了图像、图形融合思路的可行性和有效性及图像、图形融
合方法的巨大潜力．)
-image texture analysis methods (from the images, graphics integration of thinking is introduced, based on image analysis of the surface texture and shape recovery obtain three-dimensional feature, which can be used for graphical modeling and texture mapping. The first to use different view of shading sequence and combine other visual the analysis of information, access to a 3D surface geometry point coordinates and realized the image analysis based on the shape of the surface mapping. then use shadow analysis to extract the image texture features undulating surface and combine it with the color attribute, graphics texture mapping, image-based achievement features graphics texture generation. experimental results show the images, graphics integration ideas on the feasibility and effectivene Platform: |
Size: 3542016 |
Author:wfw |
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Description: Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2％到10％不等。实验结果表明,该方法改进了导向纹理的描述-Transform Contourlet inseparable combination of the direction of filtering group, have not expressed by wavelet multi-directional properties, can effectively capture the edge of natural image contour information. This paper analyzes the image ontourlet coefficient statistical characteristics, and take advantage of the generalized Gaussian function of the sub-band coefficient modeling layer. Based on this model was applied to the self-VisTex texture image database, using moment matching estimation method, extract the model parameters set, K2L use of distance-based similarity between images. Of 800 texture image retrieval, wavelet method than the traditional method of the average retrieval precision by about 2 to 10 range. Experimental results show that the method improves the texture-oriented description of Platform: |
Size: 198656 |
Author:焦亚民 |
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Description: 如何有效地从真实世界中获取有用的信息，并且把这些信息进行有效组合，用于真实感建模已经成为目前研究的热点之一。本文从基于图像建模和基于样本建模这两方面对这个问题进行了研究。-How to effectively gain from the real world of useful information, and the effective combination of these messages for realistic modeling has become one of the hot current study. In this paper, image-based modeling and modeling based on samples of these two aspects of this issue was studied. Platform: |
Size: 802816 |
Author:biyuanwei |
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Description: 使用小波进行图像去噪的论文。
This paper proposes an adaptive threshold
estimation method for image denoising in the wavelet
domain based on the generalized Guassian
distribution (GGD) modeling of subband coefficients.
-For image denoising using wavelet papers. This paper proposes an adaptive thresholdestimation method for image denoising in the waveletdomain based on the generalized Guassiandistribution (GGD) modeling of subband coefficients. Platform: |
Size: 103424 |
Author:pendle |
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Description: 基于 图 像 的建模和绘制技术IBMR(imageB asedM odelinga ndR endering)是近年兴起的一种表示和绘制具有照片真实感的虚拟场景的方法。-Image-Based Modeling and Rendering IBMR (imageB asedM odelinga ndR endering) in recent years and express a kind of photo realistic rendering with a virtual scene approach. Platform: |
Size: 1852416 |
Author:黄清平 |
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Description: 一个人脸检测系统，该系统的实现全部基于Windows和MFC编程技术。在系统实现过程中，使用了色彩空间的转换，图像建模以及其他很多的图像处理的过程。-A face detection system based on the realization of all Windows and MFC programming. The realization of the process in the system, the use of a color space conversion, image modeling, as well as many other image processing process. Platform: |
Size: 3057664 |
Author:邵婕文 |
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Description: 在三维人脸建模中特征点的提取方法，文章中对该方法进行详尽的描绘，对做三维图像来说是很好的参考资料-Face in the three-dimensional modeling of the feature point extraction method, article, the method described in detail on the three-dimensional image is to do a very good reference Platform: |
Size: 234496 |
Author:jack |
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Description: Symmetric Architecture Modeling with a Single Image
We present a method to recover a 3D texture-mapped architecture
model from a single image. Both single image based modeling and
architecture modeling are challenging problems. Platform: |
Size: 11669504 |
Author:jufeng |
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Description: Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system.-Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system. Platform: |
Size: 28409856 |
Author:ramanaidu |
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Description: A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approaches to this
problem differ in the type of background model used
and the procedure used to update the model. This paper
discusses modeling each pixel as a mixture of Gaussians
and using an on-line approximation to update
the model. The Gaussian distributions of the adaptive
mixture model are then evaluated to determine which
are most likelyt o result from a background process.
Each pixel is classified based on whether the Gaussian
distribution which represents it most effectivelyis considered
part of the background model. Platform: |
Size: 186368 |
Author:ajinkya |
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Description: This paper proposes an adaptive threshold
estimation method for image denoising in the wavelet
domain based on the generalized Guassian
distribution (GGD) modeling of subband coefficients.
The proposed method called NormalShrink is
computationally more efficient and adaptive because
the parameters required for estimating the threshold
depend on subband data. Platform: |
Size: 112640 |
Author:Sid |
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Description: 基于图像的MCNP数字人体建模与仿真研究
（学位论文）-MCNP image-based digital human modeling and simulation research (dissertation) Platform: |
Size: 3912704 |
Author:daihong |
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Description: 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.
Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most act Platform: |
Size: 10570752 |
Author:kankan |
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Description: 最新重要计算机视觉书籍,其中包括图像处理，特征检测与匹配，分割，三维重建，识别等知识，是目前计算机视觉非常经典的书籍，是从事这个方向科研工作者必备的书籍。-The seeds for this book were first planted in 2001 when Steve Seitz at the University ofWashington
invited me to co-teach a course called “Computer Vision for Computer Graphics”. At
that time, computer vision techniques were increasingly being used in computer graphics to
create image-based models of real-world objects, to create visual effects, and to merge realworld imagery using computational photography techniques. Our decision to focus on the
applications of computer vision to fun problems such as image stitching and photo-based 3D
modeling from personal photos seemed to resonate well with our students. Platform: |
Size: 19200000 |
Author:于成龙 |
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Description: 工程三维建模，图像拼贴
它可以通过一张照片来完成三维建模。只要在照片上的二维物体上标记点就可以建立逼真的三维模型，然后导出成Cult3D格式进行虚拟设计-Autodesk® ImageModeler™ image-based modeling and photogrammetry software enables architects, designers, and entertainment content creators to generate 3D models 2D digital images. The software’s easy-to-learn, three-step workflow—calibration, modeling, and texturing—enables users to achieve stunning, photorealistic 3D models with real-world accuracy and export them in different formats to other Autodesk products. Platform: |
Size: 2783232 |
Author:hawking |
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Description: abstract:
We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each photograph as well as a sparse 3D model of the scene and image to model correspondences. Our photo explorer uses image-based rendering techniques to smoothly transition between photographs, while also enabling full 3D navigation and exploration of the set of images and world geometry, along with auxiliary information such as overhead maps. Our system also makes it easy to construct photo tours of scenic or historic locations, and to annotate image details, which are automatically transferred to other relevant images. We demonstrate our system on several large personal photo collections as well as images gathered Internet photo sharing sites.-a paper about how their program exloring the information in a 3d photo Platform: |
Size: 564224 |
Author:cxn |
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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. Platform: |
Size: 1764352 |
Author:phonox |
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Search - image-based modeling