[PDF][PDF] Real-life facial expression recognition systems: a review
SJ Goyal, AK Upadhyay, RS Jadon… - Smart computing and …, 2018 - researchgate.net
Human to human communication system requires facial expressions which are the set of
symbols. This has a great importance. For human computer interaction, a robust and …
symbols. This has a great importance. For human computer interaction, a robust and …
A deep learning framework with cross pooled soft attention for facial expression recognition
Abstract Facial Expression Recognition (FER) is at the heart of Human–Computer
Interaction (HCI) and has received a lot of attention in the field of computer vision. We …
Interaction (HCI) and has received a lot of attention in the field of computer vision. We …
A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier
Abstract Facial Expression Recognition (FER) is inherently data driven. Spontaneous
expressions are substantially different from posed expressions. Spontaneous facial …
expressions are substantially different from posed expressions. Spontaneous facial …
[PDF][PDF] Towards real-life facial expression recognition systems
KI Bența, MF Vaida - AECE, 2015 - researchgate.net
Facial expressions are a set of symbols of great importance for human-to-human
communication. Spontaneous in their nature, diverse and personal, facial expressions …
communication. Spontaneous in their nature, diverse and personal, facial expressions …
Visual attention based composite dense neural network for facial expression recognition
NS Shaik, TK Cherukuri - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Abstract Facial Expression Recognition (FER) models have received special attention in the
field of computer vision and provide the basis for many real-time applications. This article …
field of computer vision and provide the basis for many real-time applications. This article …
Enhanced Gabor (E-Gabor), Hypersphere-based normalization and Pearson General Kernel-based discriminant analysis for dimension reduction and classification of …
AS Alphonse, D Dharma - Expert Systems with Applications, 2017 - Elsevier
This paper puts forward an Enhanced Gabor feature descriptor termed as E-Gabor for
obtaining high classification accuracy of emotions with low dimension. Two methods have …
obtaining high classification accuracy of emotions with low dimension. Two methods have …
A survey on analysis of human faces and facial expressions datasets
Facial expressions are the basic input for visual emotion detection. They are of great
importance in computer vision society. In last decade, substantial amount of work has been …
importance in computer vision society. In last decade, substantial amount of work has been …
Novel directional patterns and a Generalized Supervised Dimension Reduction System (GSDRS) for facial emotion recognition
AS Alphonse, D Dharma - Multimedia Tools and Applications, 2018 - Springer
This paper presents two novel directional patterns, a Maximum Response-based Directional
Texture Pattern (MRDTP) and a Maximum Response-based Directional Number Pattern …
Texture Pattern (MRDTP) and a Maximum Response-based Directional Number Pattern …
A novel Monogenic Directional Pattern (MDP) and pseudo-Voigt kernel for facilitating the identification of facial emotions
AS Alphonse, D Dharma - Journal of Visual Communication and Image …, 2017 - Elsevier
Facial expressions are the best way of communicating human emotions. This paper
proposes a novel Monogenic Directional Pattern (MDP) for extracting features from the face …
proposes a novel Monogenic Directional Pattern (MDP) for extracting features from the face …
An ensemble shape gradient features descriptor based nodule detection paradigm: a novel model to augment complex diagnostic decisions assistance
Primarily, there are three basic operational constituents of Nodule Detection Systems
namely nodule candidate detection, classification of nodule and extraction of features …
namely nodule candidate detection, classification of nodule and extraction of features …