face-recognition

问题 I´m developing currently a webapp with object detection using the js-objectdetect libary. Therefore I´m converting opencv HAAR-cascades to the needed js-objectdetect format with a python script. My question is, if it´s possible to convert opencv LBP-cascades to the js-objectdetect format too. I need this, because I already have an opencv application in use and I need to use the same LBP-cascades. I don´t find anything on Javascript object-/ face detection with LBP-cascades on the internet.

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . I have to know about face recognition library in linux. I want to do face recognition using c language in on linux plate-form. I don't want to use MATLAB. If you know any web site,library or book then please inform me. Thank You 回答1: The OpenCV can help you. See here 回答2: Download Opencv for Linux by following

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . I have to know about face recognition library in linux. I want to do face recognition using c language in on linux plate-form. I don't want to use MATLAB. If you know any web site,library or book then please inform me. Thank You 回答1: The OpenCV can help you. See here 回答2: Download Opencv for Linux by following

问题 I have successfully implemented face detection part in my Face Recognition project.Now i have a rectangular region of face in an image.Now i have to implement PCA on this detected rectangular region to extract important features.I have used examples of implementing PCA on face databases.I want to know how we can pass our detected face to function implementing PCA?Is it that we pass the rectangle frame? This is the code for my face detection. #include "cv.h" #include "highgui.h" #include

问题 I am trying to implement a facial recognition login system but I have an error "Operands could not be broadcast together with shapes (128,) (0,)" and I have no idea what or how can I solve it. Here are my view.py and facedetector.py that have been implemented and the error that I get from my server: errors Traceback (most recent call last): File "C:\django-projects\lib\site packages\django\core\handlers\exception.py", line 34, in inner response = get_response(request) File "C:\django-projects

问题 Basically I am trying facial recognition using OpenCV Android. I need to convert a Mat image that is received during face detection via inputFrame.gray(); in CvCameraViewFrame into a blob that is a byte[] to save into an SQLite database. Then, during recognition, convert this byte[] back to a Mat file that can be used in .cpp files in the jni folder, as recognition code is native. 回答1: [edit] it turned out to be quite easy with androids onboard methods: import org.opencv.core.Mat; import

问题 I get access violation writing location in face recognizer in opencv when the code getting to this line: model->train(images, labels); the error: Unhandled exception at 0x00007FF9B494321B (opencv_core331.dll) in WHomeCamera.exe: 0xC0000005: Access violation writing location 0x0000000100000014. occurred #include <opencv2\opencv.hpp> #include <opencv2\highgui.hpp> #include <opencv2\objdetect.hpp> #include <opencv2\core.hpp> #include <opencv2\face.hpp> #include <opencv2\imgcodecs.hpp> #include

问题 I get access violation writing location in face recognizer in opencv when the code getting to this line: model->train(images, labels); the error: Unhandled exception at 0x00007FF9B494321B (opencv_core331.dll) in WHomeCamera.exe: 0xC0000005: Access violation writing location 0x0000000100000014. occurred #include <opencv2\opencv.hpp> #include <opencv2\highgui.hpp> #include <opencv2\objdetect.hpp> #include <opencv2\core.hpp> #include <opencv2\face.hpp> #include <opencv2\imgcodecs.hpp> #include

问题 I am working on a project based on the facial recognition and verification. I am using Siamese network to get the 128 vector of the face ( Embeddings ). I am storing the encodings/embeddings of the person's face in the database and then checking or say matching the incoming face's encodings with the previously stored encodings to recognize the person. To make a robust system, I have to store more than one encodings of the same person. When I have used only a single encoding vector, and

问题 My project is Face Authentication. System Description: My input is only one image (which was taken when the user logins for the first time) and using that image system should authenticate whenever the user logins to the application. The authentication images may differ from the first input image like -- different illumination conditions, different distance from camera and -10 to 10 degrees variation in pose. The camera used is same (ex: ipad) for all cases. 1) Authentication images are stored