We present a novel approach to localizing parts in images of human faces. The approach
combines the output of local detectors with a nonparametric set of global models for the part …

Past work on automatic analysis of facial expressions has focused mostly on detecting
prototypic expressions of basic emotions like happiness and anger. The method proposed …

Finding fiducial facial points in any frame of a video showing rich naturalistic facial
behaviour is an unsolved problem. Yet this is a crucial step for geometric-feature-based …

Locating facial feature points in images of faces is an important stage for numerous facial
image interpretation tasks. In this paper we present a method for fully automatic detection of …

The human face is the site for major sensory inputs and major communicative outputs. It
houses the majority of our sensory apparatus as well as our speech production apparatus. It …

Human emotion recognition plays an important role in the interpersonal relationship. The
automatic recognition of emotions has been an active research topic from early eras …

In this work we present a system that enables automatic estimation of Pain from image
sequences with frontal views of faces. The system uses facial characteristic points to …

A method is provided for localizing parts of an object in an image by training local detectors
using labeled image exemplars with fiducial points corresponding to parts within the image …

This paper proposes a Periocular recognition algorithm that uses region-specific and sub-
image-based neighbor gradient feature extraction to achieve better recognition results. This …

We propose a novel approach to human facial expression recognition using only the shape
information at a finite set of fiducial points, extracted from the 3D neutral and expressive …