Detecting Faces from Low-Resolution Images

Abstract

AbstractFace detection is a hot research topic in Computer Vision; the field has greatly progressed over the past decade. However, to our knowledge, face detection in low-resolution images has not been studied. In this paper, we use a conventional AdaBoost-based face detector to show that the face detection rate falls to 39% from 88% as face resolution decreases from 24 × 24 pixels to 6 × 6 pixels.We propose a new face detection method comprising four techniques. As a result, our method improved the face detection rate from 39% to 71% for 6 × 6 pixel faces of MIT+CMU frontal face test set. We also show our method can detect 6×6 faces in real scene other than MIT+CMU frontal face test set.KeywordsInput ImageFace ImageFace DetectionWeak LearnerFace SizeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.