3d face recognition: Two decades of progress and prospects
Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …
decades due to its wide range of applications in many areas, such as security and forensics …
Local directional gradient pattern: a local descriptor for face recognition
In this paper a local pattern descriptor in high order derivative space is proposed for face
recognition. The proposed local directional gradient pattern (LDGP) is a 1D local …
recognition. The proposed local directional gradient pattern (LDGP) is a 1D local …
Geometric shaped facial feature extraction for face recognition
SR Benedict, JS Kumar - 2016 IEEE international conference …, 2016 - ieeexplore.ieee.org
Facial feature extraction is the process of extracting face component features like eyes,
nose, mouth, etc from human face image. Facial feature extraction is very much important for …
nose, mouth, etc from human face image. Facial feature extraction is very much important for …
Efficient tensor-based 2d+ 3d face verification
We propose a novel approach for face verification by encoding 2D and 3D face images as a
high order tensor. To perform tensor dimensionality reduction for both the unsupervised and …
high order tensor. To perform tensor dimensionality reduction for both the unsupervised and …
Fusion of classifier predictions for audio-visual emotion recognition
In this paper is presented a novel multimodal emotion recognition system which is based on
the analysis of audio and visual cues. MFCC-based features are extracted from the audio …
the analysis of audio and visual cues. MFCC-based features are extracted from the audio …
Multimodal 2D–3D face recognition using local descriptors: pyramidal shape map and structural context
S Soltanpour, QJ Wu - IET Biometrics, 2017 - Wiley Online Library
In this study, the authors propose a local descriptor based multimodal approach to improve
face recognition performance. Pre‐processing is done to smooth, resample, and register …
face recognition performance. Pre‐processing is done to smooth, resample, and register …
Multilinear Enhanced Fisher Discriminant Analysis for robust multimodal 2D and 3D face verification
M Bessaoudi, M Belahcene, A Ouamane… - Applied …, 2019 - Springer
In the last few years, multilinear subspace learning has attracted large interest for
dimensionality reduction and classification of multidimentional data. In this paper, we …
dimensionality reduction and classification of multidimentional data. In this paper, we …
Feature selection for 2 d and 3 d face recognition
Face recognition is a popular research topic with a number of applications in several
industrial sectors including security, surveillance, entertainment, virtual reality, and human …
industrial sectors including security, surveillance, entertainment, virtual reality, and human …
A novel hybrid approach for 3d face recognition based on higher order tensor
M Bessaoudi, M Belahcene, A Ouamane… - Advances in Computing …, 2019 - Springer
This paper presents a new hybrid approach for 3D face verification based on tensor
representation in the presence of illuminations, expressions and occlusion variations. Depth …
representation in the presence of illuminations, expressions and occlusion variations. Depth …
Making the most of single sensor information: a novel fusion approach for 3d face recognition using region covariance descriptors and gaussian mixture models
Most commercially successful face recognition systems combine information from multiple
sensors (2D and 3D, visible light and infrared, etc.) to achieve reliable recognition in various …
sensors (2D and 3D, visible light and infrared, etc.) to achieve reliable recognition in various …