Journal ArticleDOI
Local Directional Number Pattern for Face Analysis: Face and Expression Recognition
TLDR
A novel local feature descriptor, local directional number pattern (LDN), for face analysis, i.e., face and expression recognition, that encodes the directional information of the face's textures in a compact way, producing a more discriminative code than current methods.Abstract:
This paper proposes a novel local feature descriptor, local directional number pattern (LDN), for face analysis, i.e., face and expression recognition. LDN encodes the directional information of the face's textures (i.e., the texture's structure) in a compact way, producing a more discriminative code than current methods. We compute the structure of each micro-pattern with the aid of a compass mask that extracts directional information, and we encode such information using the prominent direction indices (directional numbers) and sign-which allows us to distinguish among similar structural patterns that have different intensity transitions. We divide the face into several regions, and extract the distribution of the LDN features from them. Then, we concatenate these features into a feature vector, and we use it as a face descriptor. We perform several experiments in which our descriptor performs consistently under illumination, noise, expression, and time lapse variations. Moreover, we test our descriptor with different masks to analyze its performance in different face analysis tasks.read more
Citations
More filters
Journal ArticleDOI
Facial expression recognition with Convolutional Neural Networks
TL;DR: A simple solution for facial expression recognition that uses a combination of Convolutional Neural Network and specific image pre-processing steps to extract only expression specific features from a face image and explore the presentation order of the samples during training.
Journal ArticleDOI
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios.
Rodolfo Miranda Pereira,Rodolfo Miranda Pereira,Diego Bertolini,Lucas Teixeira,Carlos N. Silla,Yandre M. G. Costa +5 more
TL;DR: In this article, the authors proposed a classification schema considering the following perspectives: i) a multi-class classification; ii) hierarchical classification, since pneumonia can be structured as a hierarchy, and also proposed the use of resampling algorithms in the schema in order to re-balance the classes distribution.
Journal ArticleDOI
Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition
TL;DR: A new spatio-temporal feature representation learning for FER that is robust to expression intensity variations is proposed that achieved higher recognition rates in both datasets compared to the state-of-the-art methods.
Journal ArticleDOI
Local line directional pattern for palmprint recognition
TL;DR: A new feature input space is proposed and an LBP-like descriptor that operates in the local line-geometry space is defined, thus proposing a new image descriptor, local line directional patterns (LLDP).
Journal ArticleDOI
Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images
TL;DR: The proposed FER method outperforms the state-of-the-art FER methods based on the hand-crafted features or deep networks using one channel, and can achieve comparable performance with easier procedures.
References
More filters
Journal ArticleDOI
Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Journal ArticleDOI
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
TL;DR: A face recognition algorithm which is insensitive to large variation in lighting direction and facial expression is developed, based on Fisher's linear discriminant and produces well separated classes in a low-dimensional subspace, even under severe variations in lighting and facial expressions.
A Practical Guide to Support Vector Classication
TL;DR: A simple procedure is proposed, which usually gives reasonable results and is suitable for beginners who are not familiar with SVM.
Journal ArticleDOI
A comparative study of texture measures with classification based on featured distributions
TL;DR: This paper evaluates the performance both of some texture measures which have been successfully used in various applications and of some new promising approaches proposed recently.
Related Papers (5)
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
Xiaoyang Tan,Bill Triggs +1 more