Tell me more ×
Signal Processing Stack Exchange is a question and answer site for practitioners of the art and science of signal, image and video processing. It's 100% free, no registration required.

Project: Face Detection

Description: I want to detect and crop a face in an image. The image is captured through webcam and only one face per image.I used OpenCV face detector, but I was not satisfied with the cropping. So, I started using STASM (http://www.milbo.users.sonic.net/stasm/) face landmark detector to crop the image.STASM uses OpenCV face detector to find face in an image and STASM locates landmarks in faces. In bad light conditions, the cropped image from STASM is not good as it is not exactly detecting the face alone.

1) I want to know any better algorithm for face detection. My main aim is to crop the face from an image.

2) currently I am using STASM for cropping. In bad light conditions or when in an image, if the whole or complete face (forehead to chin) is not captured, STASM cropping is not reliable (The output will be only eye or lips). And in my application, if there is no proper output from the stasm or if the face is not cropped prpoerly then i should reject the images. How to do that? So I am planning to validate the face in an image by finding the Eyes. If I am right in my approach, how to detect the eyes from the cropped image?

share|improve this question

Know someone who can answer? Share a link to this question via email, Google+, Twitter, or Facebook.

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.