Add to ORKGThis master's thesis deals with acceleration of geometrical image transforms using the GPU and NVIDIA (R) CUDA TM architecture. Time critical parts of the code are moved on the GPU and executed in parallel. One of the results is a demonstrational application for performance comparison of both architectures: the CPU, and GPU in combination with the CPU. As a reference implementation, there are used highly optimized routines from the OpenCV library, made by the Intel company
The advent of GPGPU technologies has allowed for sensible speed-ups in many high-dimension, memory-i...
International audienceThis paper presents a state of the art report on using graphics hardware for i...
As time has passed, the general purpose programming paradigm has evolved, producing different hardw...
This master's thesis deals with acceleration of pixel interpolation methods using the GPU and NVIDIA...
In this work, we introduce real time image processing techniques using modern programmable Graphic P...
This work is concerned with architecture of recent Nvidia graphics cards and application programming...
This book is a guide to explore how accelerating of computer vision applications using GPUs will hel...
Acceleration of image processing can be done by more than one way. This work is oriented to new tech...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
This paper presents a state of the art report on using graphics hardware for image processing and co...
In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sec...
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GP...
In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sec...
AbstractThis paper intends to achieve high performance in terms of time by implementing various time...
Abstract—Graphics processing units (GPUs) are capable of achieving remarkable performance improvemen...
The advent of GPGPU technologies has allowed for sensible speed-ups in many high-dimension, memory-i...
International audienceThis paper presents a state of the art report on using graphics hardware for i...
As time has passed, the general purpose programming paradigm has evolved, producing different hardw...
This master's thesis deals with acceleration of pixel interpolation methods using the GPU and NVIDIA...
In this work, we introduce real time image processing techniques using modern programmable Graphic P...
This work is concerned with architecture of recent Nvidia graphics cards and application programming...
This book is a guide to explore how accelerating of computer vision applications using GPUs will hel...
Acceleration of image processing can be done by more than one way. This work is oriented to new tech...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
This paper presents a state of the art report on using graphics hardware for image processing and co...
In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sec...
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GP...
In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sec...
AbstractThis paper intends to achieve high performance in terms of time by implementing various time...
Abstract—Graphics processing units (GPUs) are capable of achieving remarkable performance improvemen...
The advent of GPGPU technologies has allowed for sensible speed-ups in many high-dimension, memory-i...
International audienceThis paper presents a state of the art report on using graphics hardware for i...
As time has passed, the general purpose programming paradigm has evolved, producing different hardw...