Automatic facial feature detection is typically solved by usingmanually segmented imagestotrain a feature detector. In thispaper, we investigate whether it is possible toimprove t...
Hasan Demirel, Thomas J. Clarke, Peter Y. K. Cheun...
Facial feature localization is an important task in numerous applications of face image analysis that
include face recognition and verification, facial expression recognition, dr...
Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pi...
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
Face detection has advanced dramatically over the past three decades. Algorithms can now quite reliably detect faces in clutter in or near real time. However, much still needs to ...
Image matching has been a central research topic in computer vision over the last decades. Typical approaches for correspondence involve matching features between images. In this p...