face-recognition

How to get 3D coordinate Axes of head pose estimation in Dlib C++

喜欢而已 提交于 2019-11-27 20:53:19
Dlib C++ can detect landmark and estimate face pose very well. However, how can I get 3D coordinate Axes direction (x,y,z) of head pose? I was also facing the same issue, a while back ago, searched and found 1-2 useful blog posts, this link would get you an overview of the techniques involved, If you only need to calculate the 3D pose in decimal places then you may skip the OpenGL rendering part, However if you want to visually get the Feedback then you may try with OpenGL as well, But I would suggest you to ignore the OpenGL part as a beginner, So the smallest working code snippet extracted

Automatic face detection using Picasa API to extract individual images

拈花ヽ惹草 提交于 2019-11-27 20:00:19
问题 (A similar question has been asked on superuser for answers related to applications. The question is posted here to gather programmable solutions for the same) At my work place, passport sized photographs are scanned together, then cut up into individual pictures and saved with unique file numbers. Currently we use Paint.net to manually select, cut and save the pictures. Sample Scanned Document Picasa Screenshot: (from: google image search multiple sources, fairuse) For eg. In Picasa 3.8, On

How to adaptively add and use face images collected while authentication to improve performance of face authentication?

醉酒当歌 提交于 2019-11-27 19:03:52
问题 My current project is to build a face authentication system. The constraint I have is: during enrollment, the user gives single image for training. However, I can add and use images given by the user while authentication. The reason I want to add more images into training is, the user environment is not restricted - different lighting conditions, different distance from camera, from different MP cameras. The only relief is the pose is almost frontal. I think, the above problem is similar to

Face recognition authentication in android [closed]

戏子无情 提交于 2019-11-27 18:06:12
问题 Similar to fingerprint authentication for apps, i am trying to implement face recognition authentication in one of my android app. Can anyone guide me on how to achieve the same using any library or anything. 回答1: Android’s Face Recognition (Software) is less safe than Apple Face ID (Hardware) Because of It doesn’t work in poor lighting conditions It is possible to unlock a phone with a picture So, it’s more a convenience as a feature than a security . 回答2: I think you should go for Android

Any library for face recognition in JavaScript? [closed]

三世轮回 提交于 2019-11-27 17:15:25
I would like to know if someone know how to recognize a face using just JavaScript. I've heard of OpenCV and relatives but I want to process the face recognition at the client side (web app). Any ideas? If you are looking to recognize where a face is in an image, as opposed to matching faces across multiple images, there is actually a library that does this in conjunction with HTML canvass. There is a demo on the developers site here . You can also download the source on github . In my test's the performance was decent - but not blazing. Currently there is no pure JavaScript library performing

Android camera2 face recognition

半城伤御伤魂 提交于 2019-11-27 15:45:40
问题 There is not enough info about camera2 face recognition mechanism. I used Camera2 sample from Google: android-Camera2Basic I set face recognition mode to FULL. mPreviewRequestBuilder.set(CaptureRequest.STATISTICS_FACE_DETECT_MODE, CameraMetadata.STATISTICS_FACE_DETECT_MODE_FULL); Also I checked STATISTICS_INFO_MAX_FACE_COUNT and STATISTICS_INFO_AVAILABLE_FACE_DETECT_MODES : int max_count = characteristics.get( CameraCharacteristics.STATISTICS_INFO_MAX_FACE_COUNT); int modes [] =

How can I perform facial recogntion on iOS?

…衆ロ難τιáo~ 提交于 2019-11-27 14:49:01
I've started work on an application for iOS that would recognize faces from a photo or from the iPhone / iPad camera. Existing solutions like OpenCV and Core Image (in iOS 5.0) provide facial detection within an image, but I can't find a library or example that matches a face with a person. Does such a means of performing facial recognition, not just detection, exist for iOS? On iOS 5 you can use CoreImage (CIDetector, CIFeature, CIFaceFeature should be named as the relevant keywords) for that task. Check out the SquareCam example App from Apple, it includes face detection. If you're targeting

Face recognition using android sdk not opencv

依然范特西╮ 提交于 2019-11-27 13:29:49
问题 I am currently work on face recognition in android. I spent reasonable time on internet and I found FaceDetector.Face class in Android. And these are the utilities of this class: Constants float CONFIDENCE_THRESHOLD int EULER_X The x-axis Euler angle of a face. int EULER_Y The y-axis Euler angle of a face. int EULER_Z The z-axis Euler angle of a face. Public Methods float confidence() float eyesDistance() void getMidPoint(PointF point) float pose(int euler) The problem is, I do not know how

How to align face images c++ opencv

不羁的心 提交于 2019-11-27 10:34:57
问题 I am developing a C++ application for face authentication. First, I have to detect the face and pre-process the image. For face detection I have used the HaarCascadeClassifier. The problem is that the this tool or this algorithm gives me a facial region detected by a little bit large rectangle that englobes hair and some of the background. Is there a solution to change the dimension of this rectangle? I used "frontalfacecascaadclassifier.xml". For face pre-processing i want to do face

How to display a cv::Mat in a Windows Form application?

ぐ巨炮叔叔 提交于 2019-11-27 07:17:37
问题 I tried to use imwrite to successfully to display an image on a Windows Form, but it damages the disk, so I need a better way to do this. Below, is my current code, which writes the image temporarily to the hard drive: private: System::Void button1_Click(System::Object^ sender, System::EventArgs^ e) { namedWindow("video",0); VideoCapture cap(0); flag = true; while(flag){ Mat frame; cap >> frame; // get a new frame from camera **imwrite("vdo.jpg",frame);** this->panel1->BackgroundImage =