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Kriging 算法实现 2D和3D地图等高线
- 利用vc++实现Kriging 算法,此算法实现 2D和3D地图等高线-use vc achieve Kriging algorithm, the algorithm to achieve 2D and 3D contour maps
SDL-1.2.9-mingw32
- SDL是一个用来写多媒体软件的多平台库, 通过多平台对一般 音频, 键盘, 鼠标, 手柄, 3D OpenGL硬加速, 2D framebuffer 进行支持的API,常用于游戏和模拟器. 这是一个for mingw32版本源代码-SDL is used to write a multimedia software for multi-platform, multi-platform on the general audio, keyboard, mouse, controller, hardw
2D
- C code for \"Computational Geometry in C (Second Edition)\": Code function Chapter pointer directory ----------------------------------------------------- Triangulate Chapter 1, Code 1.14 /tri Convex Hull(2D) Chapter 3, Code 3.8 /graham Convex Hull(
cvfitline.rar
- 直线拟合。给定1D,2D,3D点对,就能通过程序实现点对的最小二乘法直线拟合。,fitline
DarkGDK
- Dark游戏开发工具,含源码. 微软公司制作的编游戏的链接库工具,专门配合Visual C++ 2008 Express 和 DirextX 9.0 SDK,可以编辑制作3D,2D游戏,制作游戏十分方便,功能强大,现在只有英文版,英文帮助十分全面。 Dark游戏开发工具包是一个完整的游戏引擎技术利用最新DirectX 9.0。-Dark game development tools, including source code.
2D 3D Image Segmentation
- Fast continuous max-flow algorithm to 2D/3D image segmentation developed in matlab, C and GPU
123569
- 3D/3D+2D人脸识别算法的优势的一篇综述论文 Advances and challenges in 3D and 2D+3D human face recognition-3D/3D+ 2D face recognition algorithm is an overview paper advantage Advances and challenges in 3D and 2D+ 3D human face recognition
sanjiaopoufen
- 在VS2008和opencv下,对2D/3D点(云)数据实现三角剖分,运算速度快,实时性好,计算精度高,并对三角剖分进行了优化,可以处理复杂点集的三角剖分,可以用于人脸识别的工作-In the VS2008 and opencv, the pairs of 2D/3D points (cloud) data to achieve triangulation, calculation speed, real-time performance is good, high precision, and
reconstruction
- 基于图像序列的三维重建.可以从2D照片生成3D模型-this is a pdf about 3d reconstruction
nonrigid_version7b
- 非刚性图像配准算例,包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。 非刚性配准是当前应用最多的配准方法,用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimizatio
NEHEOPENGL
- NeHe OpenGL(中文) OpengGL 入门必备教程 NeHe SDK 创建基本框架 怎样使用SDK 配置对话框 视口和绘制函数 2D字符 纹理 框架结构 教程目录 01:OpenGL窗口 02:多边形 03:添加颜色 04:旋转 05:3D空间 06:纹理映射 07:光照和键盘 08:混合 09:移动图像 10:3D世界 11:飘动的旗帜
51622408Demo001
- 基于三维空间三角网格的二维投影图像变换,包括3D仿射变换,基础矩阵求解及欧式空间的重构,对基于图像的三维重构有研究的朋友可以看下 -Medical image visualization technologies build 3D models with 2D medical image series to provide useful and precise information for the doctors. It is one of the crucial technologies
eidter
- 使用openGL绘制简单2d,3d图像。绘制正弦曲线等数学图形。-The use of openGL drawing simple 2d, 3d image. Sinusoid, such as rendering graphics mathematics.
Stereo-Disparity
- 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, is because the three-dimensional world from different perspectives. This procedure attempts to map from a 2D image and calculate the corresponding 3D dista
nonrigid_version10
- nonrigid_version10: Registration of two 2D images or 3D volumes both rigid and non-rigid with smooth b-spline grid without landmarks
Ccode2.tar
- c语言计算几何 三角化 Ch1, Code 1.14 凸形外壳[2D] Ch3, Code 3.8 凸形外壳[3D] Ch4, Code 4.8 球 Chapter 4, Fig. 4.15 德劳内类型 Ch5, Code 5.2 ...See *English version.-\Computational Geometry in C\ the book s recipe Triangulate Chapter 1, Code 1.14 /tri Convex
jiyu3Dlitibabiaodeshexiangjibiaodingsuanfa
- 利用透镜成像理论建立摄像机数学模型, 提出了一种线性求解摄像机内外参数的方法。该方 法特点是采用主动发光的光点阵列标定靶,利用2D 标定靶的精确移动来实现基于3D 立体靶标的摄像 机标定的算法。-Lens imaging theory using mathematical models set up the camera, a camera inside and outside the parameters for solving linear approach. The met
Surfacelet
- 文将3D Context模型应用于 Surfacelet变换域 ,提出一种新的视频去噪方法. Surfacelet变换(ST)是一种 新的3D变换 ,具有多方向分解、 各向异性和低冗余度等性质. 根据视频信号 ST域内系数和噪声分布的特征 ,将 2D Context 模型拓展到3D ,按照能量分布将 ST系数分成多个子块 ,每个子块有独立的能量和阈值估计.实验结果表明 ,本 文算法噪声抑制效果明显优于分层 2D去噪声方法和其它现有的 3D方法 ,去噪视频的 PSNR值提高了约 2dB
3D-depth-map-from-2D-images
- 二维图像三维立体视差算法依据的文章是: “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner 主要步骤: Getting Pixel Disparity Filtering the Pixel Disparity 包含的文件: demo.m, .#newrea
3D-reconstruction-master
- 3d 重建 包括特征点的提取,匹配,以及三维点云的建立(3d reconstruction ,including feature detection and 3 D points cloud ,the change from 2D to 3D)