https://bugs.kde.org/show_bug.cgi?id=415599
--- Comment #5 from Craig <craigfryer...@gmail.com> --- (In reply to Alexandre Belz from comment #4) > Hi guys, > > i'm working in a company that is now using A.I. and many parameters seem to > be potentially added to the "big data" in which the -customized- AI engine > works and determine statistical results. > More than ever, i do believe that adding *additionnal metadata* such as > "date taken" to au updated DNN module (or any other picture oriented AI) > should (must?) help to improve the quality of the estimation model, and > thus, the face recognition. > In other words, as a face is not static, and will, fore sure, evolve with > years, how does the AI enginee manages this evolution ? > The above comments would deserve to be sent to the DNN team, i think, and > recommend. With the exception of very young children, most face recognition software, and indeed people that are good at recognising faces, use parameters that don't change significantly over a persons life. These parameters are primarily ratios of distances between the main features such as the distance between the eyes and the mouth or eyes and the end of the nose. Less important parameters are also used such as the distance between the edge of the chin and the sides of the face inline with the eyes. There are many of these parameters that are used and most change little as they are based around the skull, which normally doesn't change significantly over a person's lifetime. Now using NN, these specific ratios many not be specifically programmed, but they form the basis of the identification process. After reading about this topic, including how people who are considered super recognisers perform the task so well, I realised that I personally have flaws in how I recognise people. I found that I unknowingly rely heavily on people's hair or hair style, which of course is easily changed in length, coverage, shape and colour. Clear not a good parameter to use for identification. Other parameters the people often rely on that are poor parameters to use include skin texture, skin colour and even the thickness of the skin. These parameters all change over a person's life, but they are also easily changed due to lighting, humidity, temperature and makeup. -- You are receiving this mail because: You are watching all bug changes.
