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Access to well-labeled recordings of facial expression is critical to progress in automated facial expression recognition. With few exceptions [1], publicly available databases are limited to posed facial behavior that can differ markedly in conformation, intensity, and timing from what occurs spontaneously. To meet the need for publicly available corpora(More)
This paper presents a framework to automatically measure the intensity of naturally occurring facial actions. Nat-uralistic expressions are non-posed spontaneous actions. The Facial Action Coding System (FACS) is the gold standard technique for describing facial expressions, which are parsed as comprehensive, nonoverlapping Action Units (Aus). AUs have(More)
Investigated the relationship between change over time in severity of depression symptoms and facial expression. Depressed participants were followed over the course of treatment and video recorded during a series of clinical interviews. Facial expressions were analyzed from the video using both manual and automatic systems. Automatic and manual coding were(More)
In this paper, we present an approach for 3D face recognition from frontal range data based on the ridge lines on the surface of the face. We use the principal curvature, k max , to represent the face image as a 3D binary image called ridge image. The ridge image shows the locations of the ridge points around the important facial regions on the face (i.e.,(More)
— We investigated the dynamics of head motion in parents and infants during an age-appropriate, well-validated emotion induction, the Face-to-Face/Still-Face procedure. Participants were 12 ethnically diverse 6-month-old infants and their mother or father. During infant gaze toward the parent, infant angular amplitude and velocity of pitch and yaw decreased(More)
Active Appearance Model (AAM) is a commonly used method for facial image analysis with applications in face identification and facial expression recognition. This paper proposes a new approach based on image alignment for AAM fitting called bidirectional warping. Previous approaches warp either the input image or the appearance template. We propose to warp(More)
Automated facial measurement using computer vision has the potential to objectively document continuous changes in behavior. To examine emotional expression and communication, we used automated measurements to quantify smile strength, eye constriction, and mouth opening in two six-month-old/mother dyads who each engaged in a face-to-face interaction.(More)
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framework, we represent a facial image exhibiting the combination of AUs as a sparse linear combination of basis constituting an overcomplete dictionary. We build an overcomplete(More)