人脸识别后视镜哪种好？？芝麻科技的ZM咋样？_百度知道
人脸识别后视镜哪种好？？芝麻科技的ZM咋样？
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后视镜行车记录仪的优点：1.后视镜行车记录仪隐蔽性较好，部分车友怕自己安装行车记录仪之后被砸玻璃，或者会引起贼惦记，那么选购后视镜行车记录仪是你不二的选择。2.后视镜行车记录仪与原车后视镜结合，保证车内美观，这是普通行车记录仪无法比拟的。3.通常后视镜行车记录仪屏蔽比原车略大一些，大视野后视镜在并线时可以减少对车外后视镜的依懒性。4.夜晚开车时，无论车内后视镜还是车外的两个，都会被其它车灯照的无用武之地，并且可以分散你的注意力，而现在后视镜行车记录仪基本都带有防眩晕功能，再也不怕车后面刺眼的强光，保证夜晚行车时安全。5.最后一点有些戏剧性，假如我们遇到碰瓷人士时，可以耐心的观看碰瓷者从开始到结束的表演，之后很淡定的告诉他们车内安装了行车记录仪。后视镜行车记录仪缺...
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出门在外也不愁安全的智能后视镜应该怎么选，带人脸识别的会不会好点？_百度知道
安全的智能后视镜应该怎么选，带人脸识别的会不会好点？
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还有一套DELL的人脸识别软件。一般都能识别出来。用着还可以的，不爽那个是需要安装软件的，一开机就得伸个脸让摄像头扫描一便。影响开机速度。但是还要看你的摄像头像素怎么样，用这个比较麻烦，那需要机子自带摄像头
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出门在外也不愁比较好的开源人脸识别软件有哪些？
有没有对比的数据，人脸识别准确率大致是多少
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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实现能从照片或视频中识别出所有内容。测试：结果同样非常另人满意！ 3、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。测试：在国内公开的此类服务中属佼佼者！4、测试：结果也相当不错！5、测试：结果一般，就不图了！6、7、8、 列出的SDK list:CompanySDKOnline DocumentationTechnologyCanadaHNet(Holographic/QuantumNeural Technology)GermanyGermanyNeural Nets (I assume)USADetection: Pattern MatchingRecognition:"Local Feature Analysis"USALithuaniaSwedenDetection: Active Appearance ModelsTracking: Template Matching + Kalman Filter9、相关文章：
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
开源的人脸识别没有一个靠谱的。OpenCV等自带的很弱，face++等是服务接口，不是开源代码。这两年随着深度学习的流行，人脸识别技术提高一大截，主要是归一化和特征提取部分。虽然很多机构和公司都发了准确率刷榜文章，但没有一家release出源码和模型。以前常用的ASM、Gabor、LBP等相比落后很多了。所以如果是三年前的技术，基本也落后了。所以结论是，想要有靠谱的技术，只能自己做。人脸检测、特征点定位归一化、人脸特征与识别模型，每一块都需要至少一个月时间，不熟悉的话，几个月也正常。
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.
最吊的还是云从科技，真的，拿实力说话
中科院刚成立的下属公司云从科技是做这个的，计算机视觉这块很牛，有免费云平台可以接入。
LFW数据库条件下准确率为99.77%。在官网的实际测试中效果不错，国内罕有敌手。
赞同——OpenCV；具体的准确率等指标，其实是要以测试集来说的，包括不同质量的二维、三维等，比较权威的可以参考美国NIST的测试，我所知的最近的是2012年的；还有一个是第三方的测试服务机构，例如BioMetrics，有自己的测试体系和一些测试报告。BTW，人脸识别其实应用的场景、环境有很多，识别方式、数据质量也差别很大，也就是说真实的具体的某类系统其性能与NIST等标准测试还有明显差异。而工程化的系统虽然也是基于一些流行的算法等，但一般都有组织自己的“组合”、调优、训练等，有知识产权，一般不会开源\公开的。
是目前世界一流的人脸追踪、识别、分析等服务的应用，有面向开发者的免费云平台，也有收费的离线定制服务。对于普通开发者来说，免费云平台是个不错的选择。
楼主可以关注下这个人脸检测的benchmark：里面整理了一些state-of-the-art的人脸检测方法：够用了吧。
微软project oxford, 就是那个的后台技术
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