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 …

We present an approach to automatic localization of facial feature points which deals with
pose, expression, and identity variations combining 3D shape models with local image …

Many facial-analysis approaches rely on robust and accurate automatic facial landmarking
to correctly function. In this paper, we describe a statistical method for automatic facial …

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 …

Automatic extraction of fiducial facial points is one of the key steps to face tracking,
recognition, and animation. Great facial variations, especially pose or viewpoint changes …

This paper proposes a novel adaptive algorithm to extract facial feature points automatically
such as eyebrows corners, eyes corners, nostrils, nose tip, and mouth corners in frontal view …

This paper describes a face recognition algorithm that extracts the eyes, nostrils and mouth
features from cumulative distribution function (CDF) by applying Otsu thresholding. The …