In low light conditions, visible light face identification is infeasible due to the lack of illumination. For nighttime surveillance, thermal imaging is commonly used because of the intrinsic emissivity of thermal radiation from the human body. However, matching thermal images of faces acquired at nighttime to the predominantly visible light face imagery in existing government databases and watch lists is a challenging task. The difficulty arises from the significant difference between the face’s thermal signature and its visible signature (i.e. the modality gap). To match the thermal face to the visible face acquired by the two different modalities, we applied face recognition algorithms that reduce the modality gap in each step of face id...
Security is a sensitive area that concerns all authorities around the world due to the emerging terr...
Recognition algorithms that use data obtained by imaging faces in the thermal spectrum are promising...
In last few years, Identification Systems has received a lot of attention in various areas like Acad...
Up to date methods and approaches in face identification field heavily depend on facial characterist...
Up to date methods and approaches in face identification field heavily depend on facial characterist...
A key problem for face recognition has been accurate identification under variable illumination cond...
International audienceWe present a study on different levels of visible and infrared modalities fusi...
There has been increasing interest in face recognition in the thermal infrared spectrum. A critical ...
This dissertation develops an image processing framework with unique feature extraction and similari...
urat sed re b the peri n in olutions. The results of this comparative study suggest the minimum faci...
Abstract. The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a h...
During the night or in poorly lit areas, thermal cameras are a better choice instead of normal camer...
The current dominant approaches to face recognition rely on facial characteristics that are on or ov...
In recent years, visible-spectrum face verification systems have been shown to match the performance...
Abstract. This paper describes a new software-based registration and fusion of visible and thermal i...
Security is a sensitive area that concerns all authorities around the world due to the emerging terr...
Recognition algorithms that use data obtained by imaging faces in the thermal spectrum are promising...
In last few years, Identification Systems has received a lot of attention in various areas like Acad...
Up to date methods and approaches in face identification field heavily depend on facial characterist...
Up to date methods and approaches in face identification field heavily depend on facial characterist...
A key problem for face recognition has been accurate identification under variable illumination cond...
International audienceWe present a study on different levels of visible and infrared modalities fusi...
There has been increasing interest in face recognition in the thermal infrared spectrum. A critical ...
This dissertation develops an image processing framework with unique feature extraction and similari...
urat sed re b the peri n in olutions. The results of this comparative study suggest the minimum faci...
Abstract. The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a h...
During the night or in poorly lit areas, thermal cameras are a better choice instead of normal camer...
The current dominant approaches to face recognition rely on facial characteristics that are on or ov...
In recent years, visible-spectrum face verification systems have been shown to match the performance...
Abstract. This paper describes a new software-based registration and fusion of visible and thermal i...
Security is a sensitive area that concerns all authorities around the world due to the emerging terr...
Recognition algorithms that use data obtained by imaging faces in the thermal spectrum are promising...
In last few years, Identification Systems has received a lot of attention in various areas like Acad...