rotated face detection

Here’s a simple one I wrote with Python cv2 It’s not the most efficient thing, and it uses the naive way suggested by etarion, but it works fairly well for just normal head tilting (It detect anything from -40 to 40 head tilt, which is roughly as much as you can tilt your head staying … Read more

Face Detection with Camera

There are two ways to detect faces: CIFaceDetector and AVCaptureMetadataOutput. Depending on your requirements, choose what is relevant for you. CIFaceDetector has more features, it gives you the location of the eyes and mouth, a smile detector, etc. On the other hand, AVCaptureMetadataOutput is computed on the frames and the detected faces are tracked and … Read more

Is it possible to use OpenCV or similar library in Javascript? [closed]

OpenCV has never been ported to JavaScript in its entirety, but individual parts and algorithms have: For face and face element detection (and other parts / objects), you could use js-objectdetect or HAAR.js which are ports of the OpenCV Object Detection based on Haar Feature Cascades. The very first face detection algorithm on the web … Read more

Haar Cascades vs. LBP Cascades in Face Detection [closed]

LBP is faster (a few times faster) but less accurate. (10-20% less than Haar). If you want to detect faces on an embedded system, LBP is the default choice, because it does its calculations in integers. Haar uses floats for processing, which have poorer support on embedded and mobile processors; as a result, the performance … Read more

Viola-Jones’ face detection claims 180k features

Upon closer look, your code looks correct to me; which makes one wonder whether the original authors had an off-by-one bug. I guess someone ought to look at how OpenCV implements it! Nonetheless, one suggestion to make it easier to understand is to flip the order of the for loops by going over all sizes … Read more

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