Haar-like feature - Wikipedia

#artificialintelligence

Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets and were used in the first real-time face detector.[1] Historically, working with only image intensities (i.e., the RGB pixel values at each and every pixel of image) made the task of feature calculation computationally expensive. A publication by Papageorgiou et al.[2] discussed working with an alternate feature set based on Haar wavelets instead of the usual image intensities. Viola and Jones[1] adapted the idea of using Haar wavelets and developed the so-called Haar-like features.


Face Detection using OpenCV and Python.

#artificialintelligence

These words send a shiver down my spine. But then again, they are the only comfort I get when I use Snapchat these days. "Why is Snapchat scaring this moron?" I don't know about you, BUT I SURE AS HELL don't enjoy sharing my bed with Casper or any other creepy ghosts that this otherworld-R.S.V.P-app has brought to my life. You see, every once in a while I'm doing my dog filter faces like a normal human being in 2017; but then… my cat stops moving and stares at the end of the room… the camera refocuses… and then: it finds an invisible Dalmatian filter standing by my side. I've moved twice already… but NO LONGER!




Machine Learning Methods in Video Annotation

#artificialintelligence

Keywords: video processing, image processing, video annotation, machine learning, image classification, SVM classifier, bag of visual words, Haar classifier, Viola–Jones object detection, parallel computing.