搜索资源列表
imm922[1]
- 这篇文献的名称是:Analysis and Segmentation of Face Images using Point Annotations and Linear Subspace Techniques。介绍的方法实现都是基于IMM人脸数据库的。-The name of this literature is: Analysis and Segmentation of Face Images using Point Annotations and Linear Subspace Tech
asmlibrary_release_2[1].1
- ASMLibrary2.0:它是一种基于opencv,ms visSDK,LAPACK等在VC6.0中实现人脸对齐的一个ASM库,采用ASM算法进行建模,实现人脸定位。-ASMLibrary2.0: It is based on opencv, ms visSDK, LAPACK, etc. to achieve in the VC6.0 aligned face a ASM database using ASM modeling algorithm to achieve face locati
vc555
- 调整特征库的特征,使识别系统在能够识别多体汉字的同时,还具有更高的抗干扰能力。从某种意义上说,经过改进后的识别系统的“智能”有所提高,在一定程度上能够“去粗存精、去伪存真”,变得更为“聪明”了。 -Adjust the feature database of feature, make recognition system can identify multi-body characters, but also has higher anti-interference ability. In
faces.tar
- 这是我在卡耐基梅隆大学图片数据库下的图片。19*19的数千张包括人脸和非人脸的pgm格式的图片。用来做人脸识别的训练和测试足够了。好资源-This is my picture database at Carnegie Mellon University under the picture. 19* 19 thousands, including face and non-human face of the pgm format. Used for training and testing fac
ORL
- 做人脸图像识别的数据库ORL,共有40个人的400幅人脸图像-Human face image recognition database, ORL, a total of 40 individual 400 face images
Graphic
- 老师的一个小作业,有基本矢量图形的输入,圆、矩形、多边形。同时支持三维图形,立方体、圆柱体(依据计算机图形学实现三维显示,未使用OpenGL和D3D)。同时利用MFC的串行化将图形存储为指定格式。本程序比较小,但是对于适量输入部分,将鼠标操作封装,抽象出适量输入操作接口。使得调用简单,大家谁有兴趣可以跟我讨论这个问题,目前我在做一个比较系统的GIS系统,适量输入和地图渲染基本实现了,适量图形空间数据库I/O部分已经实现大部分。-Teacher in a small operation, with
KPCA2_gsh
- KPCA的程序,用于人脸识别,在ORL人脸库上实验,效果不错!-code for face recognition based KPCA on ORL face database,the performance is nice!
AComputationalApproachtoEdgeDetection
- canny边缘检测经典算法,在学校数据库下的-a paper about the detection of edges invented by canny,downloaded from the school database
flashas3youhua
- 来自Adobe官方的Flash动画优化指南教程,包括以下的内容: • 如何节省内存 • 如何最大程度减小 CPU 使用量 • 如何提高 Actionscr ipt 3.0 性能 • 加快呈现速度 • 优化网络交互 • 使用音频和视频 • 优化 SQL 数据库性能 • 基准测试和部署应用程序-Adobe Flash animations from the
Project1
- 基于adaboost方法进行人脸以及其他物体的检测,需自己建立数据库-Based on adaboost method and other objects in the face detection, need to build database
Unit1
- 在OPENCV平台上进行开发,应用HAAR特征进行训练,对目标物体建立数据库,训练分类器,进行识别-In OPENCV platform development, application of HAAR features training, establish database, the training object classifier, and identified
Project1
- 人脸图片的预处理,归一化,纳入数据库,训练以及识别-Face image preprocessing, normalization, into the database, training and recognition
Image_Cut_ArcGIS_Engine9x
- 使用ArcGIS 的二次开发即ArcGIS Engine的开发方式裁剪影像,影像存放在影像目录中,即RasterCatalog对象中。这种对象是数据库中存放分幅影像的常用形式。当然,是使用ArcSDE作为中间件存在Oracle或SQL SERVER中,或者存放在Access或File Database中。-The second development using ArcGIS ArcGIS Engine development mode that is cropping images, imag
GCimagematching
- 利用图割方法进行立体匹配的文档,有硕士论文有小论文,我从十几篇当中挑出来的,感觉很有用,方便没有数据库用的同学-Three-dimensional graph cut method using matching documents, with a small paper Master thesis, I picked out from more than a dozen of them, feel useful, to facilitate students with no database
facedetetctandidentify
- 很强大的人脸检测和人脸识别程序。可以详解的参考一下设计思想,特别是在处理人连数据库上的经验。-Very powerful face detection and recognition procedures. Detailed reference design can be thought about, especially in dealing with database experience.
TsServer
- 基于指纹识别的考勤系统 -- 服务器段本程序基于对话框下开发的指纹识别系统,主要完成了通信部分,指纹采集部分待发。 VC6.0的编译环境 数据库为SQL2004-Attendance based on fingerprint identification system- the server section developed under this program dialog-based fingerprint identification system, mainly to comple
colormatch
- 任意给出一幅图片,能够根据颜色特征实现在指定图像数据库中找到与之不同匹配程度的图片。-Any given picture can be realized based on the color characteristics of the image database in the specified matching degree of contrast found in pictures.
PostGIS
- PostGIS简介 PostGIS是对象关系型数据库系统PostgreSQL的一个扩展,PostGIS提供如下空间信息服务功能:空间对象、空间索引、空间操作函数和空间操作符。-Introduction to PostGIS PostGIS is a PostgreSQL object-relational database systems an extension, PostGIS spatial information service offers the following features
orl
- 剑桥ORL人脸库,人脸识别常用人脸库之一。-Cambridge ORL face database, a commonly used face database.
Building_a_Geodatabase
- 建立空间信息数据库的指导,地理信息系统相关。-The guidance of a spatial information database, geographic information system-related.