Recently, the research in face recognition has focused on developing a face representation that is capable of capturing the relevant information in a manner which is invariant to facial expression and illumination. Motivated by a simple but powerful texture descriptor, called Local Binary Pattern (LBP), our proposed system extends this descriptor to evoke multiresolution and multispectral analysis for face recognition. The first descriptor, namely Multi-scale Local Binary Pattern Histogram (MLBPH), provides a robust system which is relatively insensitive to localisation errors because it benefits from the multiresolution information captured from the regional histogram.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Traditionally, subspace approaches are applied on the holistic features. Recently, local binary patt...
Face recognition is an emerging research area in recognition of the people. A novel feature extracti...
Research into facial expression recognition has predominantly been applied to face images at frontal...
Abstract—This paper presents a novel and efficient facial image representation based on local binary...
Nowadays, applications in the field of surveillance, banking and multimedia equipment are becoming ...
This project involves a series of implementation of face recognition, which mainly based on Local Bi...
Abstract: This paper focuses on the Local Binary Patterns and its application to facial analysis. LB...
Abstract. This paper presents a novel approach to face recognition, named Multi-resolution Histogram...
Various face recognition methods are derived using local features among them the Local Binary Patter...
Abstract- One of the major problems in face authentication systems is to deal with variations in ill...
Local Binary Pattern (LBP) is a simple yet very ecient texture opera-tor which labels the pixels of ...
The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying text...
International audienceA new descriptor called Multi-modal Binary Patterns (MMBP) is proposed for fac...
One of the key challenges for face recognition is finding efficient and discriminative facial appear...
Source : First international Conference on Smart Information & Communication Technologies (SmartICT’...
Traditionally, subspace approaches are applied on the holistic features. Recently, local binary patt...
Face recognition is an emerging research area in recognition of the people. A novel feature extracti...
Research into facial expression recognition has predominantly been applied to face images at frontal...
Abstract—This paper presents a novel and efficient facial image representation based on local binary...
Nowadays, applications in the field of surveillance, banking and multimedia equipment are becoming ...
This project involves a series of implementation of face recognition, which mainly based on Local Bi...
Abstract: This paper focuses on the Local Binary Patterns and its application to facial analysis. LB...
Abstract. This paper presents a novel approach to face recognition, named Multi-resolution Histogram...
Various face recognition methods are derived using local features among them the Local Binary Patter...
Abstract- One of the major problems in face authentication systems is to deal with variations in ill...
Local Binary Pattern (LBP) is a simple yet very ecient texture opera-tor which labels the pixels of ...
The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying text...
International audienceA new descriptor called Multi-modal Binary Patterns (MMBP) is proposed for fac...
One of the key challenges for face recognition is finding efficient and discriminative facial appear...
Source : First international Conference on Smart Information & Communication Technologies (SmartICT’...
Traditionally, subspace approaches are applied on the holistic features. Recently, local binary patt...
Face recognition is an emerging research area in recognition of the people. A novel feature extracti...
Research into facial expression recognition has predominantly been applied to face images at frontal...