This paper presents a comprehensive survey of facial feature point detection with the
assistance of abundant manually labeled images. Facial feature point detection favors many …

Visual speech information plays an important role in automatic speech recognition (ASR)
especially when audio is corrupted or even inaccessible. Despite the success of audio …

Human faces captured in real-world conditions present large variations in shape and
occlusions due to differences in pose, expression, use of accessories such as sunglasses …

Understanding the different categories of facial expressions of emotion regularly used by us
is essential to gain insights into human cognition and affect as well as for the design of …

Abstract Linear Discriminant Analysis (LDA) is a popular technique for supervised
dimensionality reduction, and its performance is satisfying when dealing with Gaussian …

In cognitive science and neuroscience, there have been two leading models describing how
humans perceive and classify facial expressions of emotion—the continuous and the …

Multiple kernel clustering (MKC) algorithm aims to group data into different categories by
optimally integrating information from a group of pre-specified kernels. Though …

Automatic face recognition is an area with immense practical potential which includes a
wide range of commercial and law enforcement applications. Hence it is unsurprising that it …

Over the last two decades, face alignment or localizing fiducial facial points on 2D images
has received increasing attention owing to its comprehensive applications in automatic face …

Face landmarking, defined as the detection and localization of certain characteristic points
on the face, is an important intermediary step for many subsequent face processing …