2017-11-21 10:45:28 -0600 | marked best answer | OpenCV FaceRecognition prediction confidence values I'm working with a FaceRecognition algorithm using LBPH, and my code works perfectly (using Python). What is bothering me is the prediction values. Through my code I get the confidence value, and I put that value on the screen. Usually that number varies from 30-75 from known people, and 120 -180 from unknown people. I know that a high value means that the input image and the training image are not the same person. And values clos to 0 are better. My question is: ¿How is calculed the prediction confidence value? (the distance between the images) Is it just euclidean distance? or another method? PD: Sorry for my bad english. PD2: I know there are some similar question but none answer which method is used to calculate the distance between the images. |
2017-11-21 10:45:28 -0600 | received badge | ● Scholar (source) |
2017-11-20 10:33:39 -0600 | asked a question | OpenCV FaceRecognition prediction confidence values OpenCV FaceRecognition prediction confidence values I'm working with a FaceRecognition algorithm using LBPH, and my code |