In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sections or in their entirety, on a graphics processing unit (GPU). This is due to the superior speed GPUs offer compared to CPUs. In this paper, we present a GPU library, MinGPU, which contains all of the necessary functions to convert an existing CPU code to GPU. We have created GPU implementations of several well known computer vision algorithms, including the homography transformation between two 3D views. We provide timing charts and show that our MinGPU implementation of homography transformations performs approximately 600 times faster than its C++ CPU implementation
Over the last 10-15 years, computer graphics hardware has evolved at a tremendous pace, with an expo...
Abstract. We present MGPU, a C++ programming library targeted at single-node multi-GPU systems. Such...
Abstract—This paper elaborates on the possibility to leverage the highly parallel nature of GPUs to ...
In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sec...
In some sense, computer graphics and computer vision are inverses of one another. Special purpose co...
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GP...
This paper presents a state of the art report on using graphics hardware for image processing and co...
International audienceThis paper presents a state of the art report on using graphics hardware for i...
This master's thesis deals with acceleration of geometrical image transforms using the GPU and NVIDI...
In this work, we introduce real time image processing techniques using modern programmable Graphic P...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
In this paper, we present our effort in developing an open-source GPU (graphics processing units) co...
Common programmable Graphics Processing Units (GPU) are capable of more than just rendering real-tim...
Majority of current mobile devices include a camera. To meet the form-factor and price requirements,...
Image processing is an area with many computationally demanding algorithms. When implementing an alg...
Over the last 10-15 years, computer graphics hardware has evolved at a tremendous pace, with an expo...
Abstract. We present MGPU, a C++ programming library targeted at single-node multi-GPU systems. Such...
Abstract—This paper elaborates on the possibility to leverage the highly parallel nature of GPUs to ...
In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sec...
In some sense, computer graphics and computer vision are inverses of one another. Special purpose co...
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GP...
This paper presents a state of the art report on using graphics hardware for image processing and co...
International audienceThis paper presents a state of the art report on using graphics hardware for i...
This master's thesis deals with acceleration of geometrical image transforms using the GPU and NVIDI...
In this work, we introduce real time image processing techniques using modern programmable Graphic P...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
In this paper, we present our effort in developing an open-source GPU (graphics processing units) co...
Common programmable Graphics Processing Units (GPU) are capable of more than just rendering real-tim...
Majority of current mobile devices include a camera. To meet the form-factor and price requirements,...
Image processing is an area with many computationally demanding algorithms. When implementing an alg...
Over the last 10-15 years, computer graphics hardware has evolved at a tremendous pace, with an expo...
Abstract. We present MGPU, a C++ programming library targeted at single-node multi-GPU systems. Such...
Abstract—This paper elaborates on the possibility to leverage the highly parallel nature of GPUs to ...