Extraction of discriminative features from salient facial patches plays a vital role in effective
facial expression recognition. The accurate detection of facial landmarks improves the …

This paper proposes a novel local feature descriptor, local directional number pattern (LDN),
for face analysis, ie, face and expression recognition. LDN encodes the directional …

Introduction: Alzheimer's Disease (AD) is a degenerative brain disorder characterized by
cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the …

Automatic facial expression recognition system has many applications including, but not
limited to, human behavior understanding, detection of mental disorders, and synthetic …

This paper introduces an accurate and robust facial expression recognition (FER) system.
For feature extraction, the proposed FER system employs stepwise linear discriminant …

This paper aims to present histogram-based local descriptors applied to Facial Expression
Recognition (FER) from static images and provide a systematic review and analysis of them …

Local binary descriptors are extensively used for image representation in many of the
computer vision applications. A majority of these local binary descriptors exploit the intensity …

Efficient algorithms, intelligent approaches, and intensive use of computers are crucial to
extracting reliable information from large-scale data sets. It is the case, for example, in …

Automatic image annotation (AIA) plays a vital role in dealing with the exponentially growing
digital images. Image annotation helps in effective retrieval, organization, classification, auto …

The current deterioration inspection method for bridges heavily depends on human
recognition, which is time consuming and subjective. This research adopts Self Organizing …