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机器视觉开源处理库汇总-介绍n款计算机视觉库/人脸识别开源库/软件 -几种图像处理类库的比较-视觉相关网站
介绍n款计算机视觉库/人脸识别开源库/软件视觉相关网站
机器视觉开源处理库汇总
从搞到的机器视觉开源处理库汇总，转来了，很给力，还在不断更新。。。
通用库/General Library
无需多言。
Recognition And Vision Library. 线程安全。强大的IO机制。包含AAM。
很酷的一个图像处理包。整个库只有一个头文件。包含一个基于PDE的光流。
图像，视频IO/Image, Video IO
AR相关/Augmented Reality
基于Marker的AR库
ARToolKit的增强版。实现了更好的姿态估计算法。
实时的跟踪、SLAM、AR库。无需Marker，模板，内置传感器等。
基于特征点检测和识别的AR库。
局部不变特征/Local Invariant Feature
目前最好的Sift开源实现。同时包含了KD-tree，KD-Forest，BoW实现。
基于Naive Bayesian Bundle的特征点识别。高速，但占用内存高。
基于OpenCV的Sift实现。
目标检测/Object Detection
又一个AdaBoost实现。训练速度快。
基于Centrist和Linear SVM的快速行人检测。
（近似）最近邻/ANN
目前最完整的（近似）最近邻开源库。不但实现了一系列查找算法，还包含了一种自动选取最快算法的机制。
另外一个近似最近邻库。
SLAM & SFM
monoSLAM库。由Androw Davison开发。
图像分割/Segmentation
使用Simple Linear Iterative Clustering产生指定数目，近似均匀分布的Super Pixel。
目标跟踪/Tracking
基于Online Random Forest的目标跟踪算法。
Kanade-Lucas-Tracker
Online Boosting Trackers
直线检测/Line Detection
基于联通域连接的直线检测算法。
基于梯度的，局部直线段检测算子。
指纹/Finger Print
基于感知的多媒体文件Hash算法。（提取，对比图像、视频、音频的指纹）
视觉显著性/Visual Salience
Ming-Ming Cheng的视觉显著性算法。
最快，最好的开源FFT。
轻量级的FFT实现。许可证是亮点。
音频处理/Audio processing
音频处理，音频合成。
音频文件IO。
音频重采样。
快速小波变换（FWT）
BRIEF: Binary Robust Independent Elementary Feature 一个很好的局部特征描述子，里面有FAST corner + BRIEF实现特征点匹配的DEMO：
Java打包的OpenCV, FFmpeg, libdc1394, PGR FlyCapture, OpenKinect, videoInput, and ARToolKitPlus库。可以放在Android上用~
libHIK,HIK SVM，计算HIK SVM跟Centrist的Lib。
一组视觉显著性检测的链接：
OpenCV是Intel(R)开源计算机视觉库。它由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。 OpenCV 拥有包括 300 多个C函数的跨平台的中、高层 API。它不依赖于其它的外部库——尽管也可以使用某些外部库。 OpenCV 对非商业...
faceservice.cgi 是一个用来进行人脸识别的 CGI ， 你可以通过上传图像，然后该程序即告诉你人脸的大概坐标位置。faceservice是采用 OpenCV 库进行开发的。
OpenCVDotNet 是一个 .NET 对 OpenCV 包的封装。
jViolajones是人脸检测算法Viola-Jones的一个Java实现，并能够加载OpenCV XML文件。 示例代码：
JavaCV 提供了在计算机视觉领域的封装库，包括：OpenCV、ARToolKitPlus、libdc1394 2.x 、PGR FlyCapture和FFmpeg。此外，该工具可以很容易地使用Java平台的功能。 JavaCV还带有硬件加速的全屏幕图像显示（CanvasFrame），易于在多个内核中执行并行代码（并...
QMotion 是一个采用 OpenCV 开发的运动检测程序，基于 QT。
OpenVSS - 开放平台的视频监控系统 - 是一个系统级别的视频监控软件视频分析框架（VAF）的视频分析与检索和播放服务，记录和索引技术。它被设计成插件式的支持多摄像头平台，多分析仪模块（OpenCV的集成），以及多核心架构。
手势识别，用OpenCV实现
提供人脸检测、识别与检测特定人脸的功能，示例代码 cvReleaseImage( &gray ); cvReleaseMemStorage(&storage); cvReleaseHaarClassifierCascade(&cascade);...
Active Shape Model Library (ASMLibrary(C)) SDK, 用OpenCV开发，用于人脸检测与跟踪。
ECV 是 lua 的计算机视觉开发库(目前只提供linux支持)
OpenCVSharp 是一个OpenCV的.Net wrapper，应用最新的OpenCV库开发，使用习惯比EmguCV更接近原始的OpenCV，有详细的使用样例供参考。
基于OpenCV构建的图像处理和3D视觉库。 示例代码： ImageSequenceReaderF ImageSequenceReader* reader = factory.pathRegex("c:/a/im_%03d.jpg", 0, 20); //ImageSequenceReader*
reader = factory.avi("a.avi"); if (reader == NULL) { ...
基于 QT 的面向对象的多平台计算机视觉库。可以方便的创建图形化应用程序，算法库主要从 OpenCV，GSL，CGAL，IPP，Octave 等高性能库借鉴而来。
cvBlob 是计算机视觉应用中在二值图像里寻找连通域的库.能够执行连通域分析与特征提取.
GShow is a real-time image/video processing filter development kit. It successfully integrates DirectX11 with DirectShow framework. So it has the following
features: GShow 是实时 图像/视频 处理滤波开发包，集成DiretX11。...
VideoMan 提供一组视频捕获 API 。支持多种视频流同时输入（视频传输线、USB摄像头和视频文件等）。能利用 OpenGL 对输入进行处理，方便的与 OpenCV，CUDA 等集成开发计算机视觉系统。
Pattern Recognition project（开放模式识别项目），致力于开发出一套包含图像处理、计算机视觉、自然语言处理、模式识别、机器学习和相关领域算法的函数库。
OpenCV的Python封装，主要特性包括： 提供与OpenCV 2.x中最新的C++接口极为相似的Python接口，并且包括C++中不包括的C接口 提供对OpenCV 2.x中所有主要部件的绑定：CxCORE (almost complete), CxFLANN (complete), Cv (complete),
CvAux (C++ part almost...
计算机视觉快速开发平台，提供测试框架，使开发者可以专注于算法研究。
对函数库v412的封装，从网络摄像头等硬件获得图像数据，支持YUYV裸数据输出和BGR24的OpenCV
IplImage输出
OpenVIDIA projects implement computer vision algorithms running on on graphics hardware such as single or multiple graphics processing units(GPUs) using
OpenGL, Cg and CUDA-C. Some samples will soon support OpenCL and Direct Compute API&...
实现了基于混合高斯模型的点集配准算法，该算法描述在论文： A Robust Algorithm for Point Set Registration Using Mixture of Gaussians, Bing Jian and Baba C. Vemuri. ，实现了C++/Matlab/Python接口...
Recognition And Vision Library (RAVL) 是一个通用 C++ 库，包含计算机视觉、模式识别等模块。
LTI-Lib 是一个包含图像处理和计算机视觉常用算法和数据结构的面向对象库，提供 Windows 下的 VC 版本和 Linux 下的 gcc 版本，主要包含以下几方面内容： 1、线性代数 2、聚类分析 3、图像处理 4、可视化和绘图工具
优化了OpenCV库在DSP上的速度。
Integrating Vision Toolkit (IVT) 是一个强大而迅速的C++计算机视觉库，拥有易用的接口和面向对象的架构，并且含有自己的一套跨平台GUI组件，另外可以选择集成OpenCV
The Epipolar Geometry Toolbox (EGT) is a toolbox designed for Matlab (by Mathworks Inc.). EGT provides a wide set of functions to approach computer vision
and robotics problems with single and multiple views, and with different vision se...
ImageNets 是对OpenCV 的扩展，提供对机器人视觉算法方面友好的支持，使用Nokia的QT编写界面。
视频处理、计算机视觉和计算机图形学的快速开发库。
Matlab 的计算机视觉包，包含用于观察结果的 GUI 组件，貌似也停止开发了，拿来做学习用挺不错的。
SIP 是 Scilab（一种免费的类Matlab编程环境）的图像处理和计算机视觉库。SIP 可以读写 JPEG/PNG/BMP 格式的图片。具备图像滤波、分割、边缘检测、形态学处理和形状分析等功能。
STAIR Vision Library (SVL) 最初是为支持斯坦福智能机器人设计的，提供对计算机视觉、机器学习和概率统计模
几种图像处理类库的比较
作者：王先荣
近期需要做一些图像处理方面的学习和研究，首要任务就是选择一套合适的图像处理类库。目前较知名且功能完善的图像处理类库有OpenCv、EmguCv、AForge.net等等。本文将从许可协议、下载、安装、文档资料、易用性、性能等方面对这些类库进行比较，然后给出选择建议，当然也包括我自己的选择。
许可协议网址
www.opensource.org/licenses/bsd-license.html
在保留原来BSD协议声明的前提下，随便怎么用都行
http://www.gnu.org/licenses/gpl-3.0.txt
你的产品必须也使用GPL协议，开源且免费
/wiki/files/CommercialLicense.txt
给钱之后可以用于闭源的商业产品
AForge.net
http://www.gnu.org/licenses/lgpl.html
如果不修改类库，引用该类库的产品可以闭源和（或）收费
以上三种类库都可以用于开发商业产品，但是EmguCv需要付费；因为我只是用来学习和研究，所以这些许可协议对我无所谓。不过鉴于我们身在中国，如果脸皮厚点，去他丫的许可协议。
可以很方便的下载到这些类库，下载地址分别为：
http://sourceforge.net/projects/opencvlibrary/files/
/wiki/index.php/Download_And_Installation
AForge.net
/framework/downloads.html
&&&&推荐文章:
【上篇】【下篇】有没有对比的数据，人脸识别准确率大致是多少
引用自Quora：
- Stephen here from Lambda Labs. For sample code and a graphical demo, check out . Our API provides face recognition, facial detection, eye position, nose position, mouth position, and gender classification. If you have any questions ask! Just send an email to . Happy Hacking! -Stephen - A computer vision api for facial recognition and facial detection that is a perfect
replacement. We currently have a free api for face detection. - The Animetrics Face Recognition API can be used to detect human faces in pictures. Information on facial features or "landmarks" is returned as coordinates on the image.. Animetrics Face Recognition will also detect and return the orientation, or "pose" of faces along 3 axes. - An easy to use Face Detection and Recognition API. You must have an application created in your account at SkyBiometry to use it (sign up at if you don't have account yet). - Beta Release A better Face detection service! ImageVision is a computer vision company improving technology that determines the locations and sizes of human faces in arbitrary (digital) images. - Face++ uses the cutting-edge technology of computer vision and data mining to provide 3 core vision services (Detection, Recognition, and Analysis). With the service and huge database of celebrity from Face++, the developers can apply the face technology into their own websites, mobile Apps, and smart TVs, increasing incredible user experience - FaceMark is a powerful API for facial feature detection. It finds 68 points for a frontal face and 35 for a profile one. FaceMark detects landmarks for faces on the image specified by URL or uploaded as a file and produces JSON output containing a vector of facial landmarks and orientation for each face found. - Artificially Intelligent emotion recognition software that allows cameras to “look back” and read people’s facial micro-expressions, gender and age group in real time as they watch videos on their computers or mobile devices. -
alternative! Our fast, robust and scalable rekognition engine can do facial detection, crawling, recognition, scene understanding! It can be automatically trained using images and tags on Facebook! - FaceRect is a powerful and free API for face detection. It finds faces (both frontal and profile) on the image specified by URL or uploaded as a file and is able to find multiple faces on a single photo, producing JSON output with a bounding box for each face found. - Simple face detection API - OpenCV (Open Source Computer Vision Library: ) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. - Libface is a library aimed at bringing face recognition technology to the open source community. It is written in C++ and maintained on . The library uses
and aims to be a middleware for developers that don’t have to include any OpenCV code in order to use face recognition and face detection detection.- The objective of this work is to label television or movie footage with the names of the people present in each frame of the video. - a modern computer vision library - Open Source Biometric Recognition - open source implementation of facial landmark detector - an end-to-end system for fully automated facial expression recognition that operates in real-time. - Analyze human emotions from facial expressions. More direct and automatic than by any other method. - FaceReader is the world's first tool that is capable of automatically analyzing facial expressions, providing users with an objective assessment of a person’s emotion. - Affdex reads emotional states such as liking and attention from facial expressions using a webcam... to give marketers faster, more accurate insight into consumer response to brands and media. - Analyzer takes in a video of an actor’s facial performance and produces an .IMPD file for use in . It accomplishes this through the combination of simple user input on the front end, and complex computer vision algorithms on the back end. - add face recognition to your apps - The Face Tracking API allows Flash developers to harness advanced technology previously available only in high end video games. - world's first webcam-based personal recognition - face detection and recognition - detect 15 face points, 4 face parts, multiple face, occluded faces - this program is the clone of 'Face Detection System' in MATLAB but instead of Neural Networks, it is based on SVM. - is a face detection library for C/C++ and Matlab. It allows you to detect frontal faces in images. - a human computer interface that aims to replace the traditional mouse with the face. Using a webcam and Visage the movement of the face becomes the movement of the mouse pointer. Left/right Eye blinks fire left/right mouse click events. (Carnegie Mellon) - the Advanced Multiple Processing (AMP) offers face tracking using color matching combined with deformable templates.
Both DLL for Windows and static library for Linux - Demo from the Fraunhofer institute IIS, Germany.
Shows face tracking and detection using edge orientation matching. - Resource for all researchers developing face recognition algorithms from Colorado State University.
It provides a standard set of well known algorithms and established experimental protocols.
- useful collection of image processing code - allows third-party developers to implement advanced facial biometric technology with their own security applications - develops market-leading face recognition technologies and applications for enterprise and government customers around the world. - integrates recognition technology into major operating systems. - - FaceSDK enables Microsoft Visual C++, C#, VB, Java, and Delphi developers to build 32-bit and 64-bit applications for Web, Windows, Linux, and MacOS X with face recognition and face-based biometric identification functionality - allows rapid development of biometric applications using functions from the VeriLook algorithm that ensure fast and reliable face identification. - calculates the position and 3D angles of a face in a single picture of a webcam stream.
This information can be used to place 3D objects onto the image or to control an app via head movements - cutting edge face analysis technologies, targeting individual or crowd analysis - contains powerful techniques to find faces and facial features in still images in form of a well-documented C++ Software Development Kit - integrates the latest face technologies from Microsoft research teams. - combines traditional facial geometry techniques with skin biometrics - consists of a set of libraries developerd for .NET and Silverlight - highly advanced face recognition system that is designed to work with the embedded or linked face images in your existing database. - web-enabled face recognition - a real world, real time perceptive computing software that measures gender, age, attention time, dwell, glances and more for up to 25 people, 25 ft away using a basic webcam. It has a REST API as well. - Bob is a signal-processing and machine learning toolbox originally developed by the Biometrics Group at , in Switzerland. Bob is primarily developed through . - KeyLemon provides a new way to access your computer. Instead of typing your password, you just need to smile to the webcam and KeyLemon will recognize you -
allow us to do both things using concept, basically some patterns which should match a human face. - Return an array of positions of detected faces, with type and confidence.
&h2&&a href=&///?target=http%3A///work/face-recognition-api-sdk-list.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&人脸识别API/SDK 汇总&i class=&icon-external&&&/i&&/a&&br&&/h2&&h2&1、&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&&i class=&icon-external&&&/i&&/a&&/h2&&p&以色列公司，某年六月时被Facebook收购，同时暂停了API服务，之前测试过他们的服务，基本上是了解到的应用中做得最牛的了。&/p&&img src=&/e8e845f6d_b.jpg& data-rawwidth=&620& data-rawheight=&429& class=&origin_image zh-lightbox-thumb& width=&620& data-original=&/e8e845f6d_r.jpg&&&br&&h2& 2、&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&orbe&i class=&icon-external&&&/i&&/a&&/h2&&p&Orbeus由麻省理工学院和波士顿大学的几个科学家联合创立，他们致力于让Orbeus实现能从照片或视频中识别出所有内容。&/p&&p&&img src=&/f03e08ee21da1ce2e89223bae76be77d_b.jpg& data-rawwidth=&706& data-rawheight=&491& class=&origin_image zh-lightbox-thumb& width=&706& data-original=&/f03e08ee21da1ce2e89223bae76be77d_r.jpg&&&br&测试：结果同样非常另人满意！&/p&&img src=&/c8f10e152eee624e01d050_b.jpg& data-rawwidth=&473& data-rawheight=&474& class=&origin_image zh-lightbox-thumb& width=&473& data-original=&/c8f10e152eee624e01d050_r.jpg&&&br&&h2& 3、&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Face++&i class=&icon-external&&&/i&&/a&&/h2&&p&Face++.com 是一个提供免费人脸检测、人脸识别、人脸属性分析等服务的云端服务平台。Face++是北京旷视科技有限公司旗下的全新人脸技术云平台，在黑马大赛中，Face++获得年度总冠军，已获得联想之星投资。&/p&&p&&img src=&/bd1a4d601200bec999fda05_b.jpg& data-rawwidth=&390& data-rawheight=&414& class=&content_image& width=&390&&&br&测试：在国内公开的此类服务中属佼佼者！&/p&&img src=&/56e7fc8d9fc060dc890b82_b.jpg& data-rawwidth=&436& data-rawheight=&444& class=&origin_image zh-lightbox-thumb& width=&436& data-original=&/56e7fc8d9fc060dc890b82_r.jpg&&&br&&h2&4、&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&skybiometry&i class=&icon-external&&&/i&&/a&&/h2&&img src=&/031b798e60b4ce6a654b19a81efe5a6a_b.jpg& data-rawwidth=&640& data-rawheight=&480& class=&origin_image zh-lightbox-thumb& width=&640& data-original=&/031b798e60b4ce6a654b19a81efe5a6a_r.jpg&&&br&&p&测试：结果也相当不错！&/p&&p&&img src=&/b9fd95cc44dcc1f76c7f_b.jpg& data-rawwidth=&483& data-rawheight=&494& class=&origin_image zh-lightbox-thumb& width=&483& data-original=&/b9fd95cc44dcc1f76c7f_r.jpg&&&br&5、&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Luxand&i class=&icon-external&&&/i&&/a&&/p&&img src=&/ee6ed785bafcb_b.jpg& data-rawwidth=&630& data-rawheight=&189& class=&origin_image zh-lightbox-thumb& width=&630& data-original=&/ee6ed785bafcb_r.jpg&&&br&&p&测试：结果一般，就不图了！&/p&&p&6、&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&lambdal&i class=&icon-external&&&/i&&/a&&img src=&/e09be5e9e2cf6aee067ad3f461b167db_b.jpg& data-rawwidth=&349& data-rawheight=&276& class=&content_image& width=&349&&&br&&/p&&p&7、&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&& betaface&i class=&icon-external&&&/i&&/a&&/p&&br&&p&8、&a href=&///?target=http%3A///facedetection/software.htm& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Facedetection&i class=&icon-external&&&/i&&/a& 列出的SDK list:&/p&CompanySDKOnline DocumentationTechnology&strong&&br&&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&ACSYS&i class=&icon-external&&&/i&&/a&&/strong&Canada&br&&a href=&///?target=http%3A///product_sdk.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&AcsysFRS SDK&i class=&icon-external&&&/i&&/a&HNet(Holographic/Quantum&br&Neural Technology)&strong&&br&&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Betaface&i class=&icon-external&&&/i&&/a&&/strong&Germany&a href=&///?target=http%3A///Betaface%2520SDK.pdf& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Betaface Face Detection and Recognition SDK&i class=&icon-external&&&/i&&/a&&a href=&///?target=http%3A///Betaface%2520SDK.pdf& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://www.&/span&&span class=&visible&&/Betaface%2&/span&&span class=&invisible&&0SDK.pdf&/span&&span class=&ellipsis&&&/span&&i class=&icon-external&&&/i&&/a&&strong&&a href=&///?target=http%3A//www.cognitec-systems.de/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Cognitec&i class=&icon-external&&&/i&&/a&&/strong&Germany&a href=&///?target=http%3A//www.cognitec-systems.de/products-sdk.htm& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&FaceVACSSDK&i class=&icon-external&&&/i&&/a&&a href=&///?target=http%3A//www.cognitec-systems.de/documentation/frsdk_public/index.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&http://www.cognitec-ag.de/documentation/frsdk_public&i class=&icon-external&&&/i&&/a&Neural Nets (I assume)&strong&&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&L-1&i class=&icon-external&&&/i&&/a&&/strong&USA&a href=&///?target=http%3A///pages/101-faceit-sdk& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&FaceITSDK&i class=&icon-external&&&/i&&/a&Detection: Pattern MatchingRecognition:&br&&Local Feature Analysis&&strong&&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Luxand&i class=&icon-external&&&/i&&/a&&br&&/strong&USA&a href=&///?target=http%3A///facesdk/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&FaceSDK&i class=&icon-external&&&/i&&/a&&a href=&///?target=http%3A///download/Luxand_FaceSDK_Documentation.pdf& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&FaceSDK Documentation&i class=&icon-external&&&/i&&/a&&strong&&br&&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&NEUROtechnologija&i class=&icon-external&&&/i&&/a&&br&&/strong&Lithuania&br&&a href=&///?target=http%3A///vl_sdk.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&VeriLook SDK&i class=&icon-external&&&/i&&/a&&strong&&a href=&///?target=http%3A///& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Visage Technologies AB&i class=&icon-external&&&/i&&/a&&/strong&Sweden&a href=&///?target=http%3A///products_sdk_vision-d.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&visage|SDK&i class=&icon-external&&&/i&&/a&Detection: Active Appearance ModelsTracking: Template Matching + Kalman Filter&br&&br&&br&&h2&9、相关文章：&/h2&&h2&&a href=&///?target=http%3A///work/anti-face-recognition.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&反人脸识别&i class=&icon-external&&&/i&&/a&&/h2&&h2&&a href=&///?target=http%3A///tech/face-recognition-app.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&人脸识别App集合&i class=&icon-external&&&/i&&/a&&/h2&
1、以色列公司，某年六月时被Facebook收购，同时暂停了API服务，之前测试过他们的服务，基本上是了解到的应用中做得最牛的了。 2、Orbeus由麻省理工学院和波士顿大学的几个科学家联合创立，他们致力于让Orbeus实现能从照片…
开源人脸识别软件，到目前为止还没有什么精度比较好的。&br&OpenCV里面的人脸检测及其相关的haar detector还是蛮不错的，但想搞靠谱实用还是的自己重新train。&br&人脸识别最好的几家公司都在07年的frvt（google收购的NV参与了这届，综合性能第一）和后来的10年的mbe（google收购的pittpatt参加了这届，性能一般，但他们的人脸检测、姿态估计似乎很好，cmu的人马，专利不少）网站上了。看看就知道最好的人脸识别技术能达到什么程度了&br&&br&
开源人脸识别软件，到目前为止还没有什么精度比较好的。OpenCV里面的人脸检测及其相关的haar detector还是蛮不错的，但想搞靠谱实用还是的自己重新train。人脸识别最好的几家公司都在07年的frvt（google收购的NV参与了这届，综合性能第一）和后来的10年的mb…
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