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2017-11-20 10:10:23 -0600	received badge	● Popular Question (source)
2012-08-20 11:38:02 -0600	received badge	● Student (source)
2012-08-20 11:08:49 -0600	asked a question	Interpreting OpenCV FaceRecognition predicted confidence values I am toying with the various FaceRecognition algorithms, and I'd like to better understand the confidence values so that I can have a sense of when to ignore a match or when I can rely on a match. Using the ATT face database, I did test 1 where I trained on the 40 faces then ran prediction on a known face (With unknown image of course). I then did a second test where I trained on 39 faces and ran prediction on an unknown face (happens to be the same image as used in test 1). The values I got were: Eigenspace - 1806 when face known - 2618 when face unknown Fisherface - 372 known - 841 unknown LBPH - 36 known - 55 unknown If I am interpreting the algorithms correctly, Eigenspace and Fisherface work in a high dimension space and try to find the closest neighbor for a given test image. This means the confidence value will change depending on data set, and I can not have a simple threshold. Is there any other information I can gather, such as average distance between clusters, so that I can understand if I should keep or ignore a prediction? In regards to LBPH, is this confidence acting the same way? Many thanks
2012-08-20 10:48:26 -0600	received badge	● Editor (source)
2012-08-20 10:47:34 -0600	answered a question	CMake build crash on Mac OS 10.8 A dependent library is not found for the OS X 64bit architecture, and your compilation is failing. What method are you using for the compilation? I would turn on verbose, and see which library is the issue, then see if the library exists or not. If it doesn't exist, then install it. If it exists, then you need to adjust your path to find the library. I can give some more details if you tell me how you are attempting to compile (macports, source, etc?)