AbstractFace detection is the active research area in the field of computer vision because it is the first step in various applications like face recognition, military intelligence and surveillance, human computer interaction etc. Face detection algorithms are computationally intensive, which makes it is difficult to perform face detection task in real-time. We can overcome the processing limitations of the face detection algorithms by offloading computation to the graphics processing unit (GPU) using NVIDIAs Compute Unified Device Architecture (CUDA). In this paper, we have developed a GPU based implementation of robust face detection based on Viola Jones face detection algorithm. To verify our work, we compared our implementation with tra...
This paper presents a parallelized architecture of multiple classifiers for face detection based on ...
The expansion of biometric applications and databases is worrying. Processing extensive or sophistic...
Graphics processing units have massive parallel processing capabilities, and there is a growing inte...
AbstractFace detection is the active research area in the field of computer vision because it is the...
International audienceFace detection is an important aspect for various domains such as: biometrics,...
Abstract — Face detection is very useful and important for many different disciplines. Even for our ...
Abstract — Human face detection and recognition finds various application in domain like Surveillanc...
Faces and facial expressions recognition is an interesting topic for researchers in machine vision. ...
This paper proposes a hardware architecture based on the object detection system of Viola and Jones ...
Faces and facial expressions recognition is an interesting topic for researchers in machine vision. ...
This work offers a graphics processing unit (GPU)-based system for real-time face recognition, which...
This thesis proposes to study parallelization methods to improve the computational runtime of the po...
Humans are able to easily locate faces in its environment despite difficult conditions such as occlu...
We present an field programmable gate arrays (FPGA) based implementation of the popular Viola-Jones ...
We present an field programmable gate arrays (FPGA) based implementation of the popular Viola-Jones ...
This paper presents a parallelized architecture of multiple classifiers for face detection based on ...
The expansion of biometric applications and databases is worrying. Processing extensive or sophistic...
Graphics processing units have massive parallel processing capabilities, and there is a growing inte...
AbstractFace detection is the active research area in the field of computer vision because it is the...
International audienceFace detection is an important aspect for various domains such as: biometrics,...
Abstract — Face detection is very useful and important for many different disciplines. Even for our ...
Abstract — Human face detection and recognition finds various application in domain like Surveillanc...
Faces and facial expressions recognition is an interesting topic for researchers in machine vision. ...
This paper proposes a hardware architecture based on the object detection system of Viola and Jones ...
Faces and facial expressions recognition is an interesting topic for researchers in machine vision. ...
This work offers a graphics processing unit (GPU)-based system for real-time face recognition, which...
This thesis proposes to study parallelization methods to improve the computational runtime of the po...
Humans are able to easily locate faces in its environment despite difficult conditions such as occlu...
We present an field programmable gate arrays (FPGA) based implementation of the popular Viola-Jones ...
We present an field programmable gate arrays (FPGA) based implementation of the popular Viola-Jones ...
This paper presents a parallelized architecture of multiple classifiers for face detection based on ...
The expansion of biometric applications and databases is worrying. Processing extensive or sophistic...
Graphics processing units have massive parallel processing capabilities, and there is a growing inte...