Struyf L., De Beugher S., Van Uytsel D.H., Kanters F., Goedemé T., ''The battle of the giants: a case study of GPU vs FPGA optimisation for real-time image processing'', Proceedings 4th international conference on pervasive and embedded computing and communication systems – PECCS 2014, vol. 1, pp. 112-119, January 7-9, 2014, Lisbon, Portugal.This paper focuses on a thorough comparison of the two main hardware targets for real-time optimization of a computer vision algorithm: GPU and FPGA. Based on a complex case study algorithm for threaded isle detection, implementation on both hardware targets is compared in terms of resulting time performance, code translation effort, hardware cost, power efficiency and integrateability. A real-life case...
Abstract: One of perspective means of hardware support of collection and processing of vis...
Current digital processing algorithms require more computing power to achieve more accurate results ...
This book presents a selection of papers representing current research on using field programmable g...
This paper focuses on a thorough comparison of the two main hardware targets for real-time optimizat...
CD-ROM included ; A thesis submitted to the Department of Electronic and Telecommunication Engineeri...
As demands for real-time computer vision applications increase, implementations on alternative archi...
As demands for real-time computer vision applications increase, implementations on alternative archi...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
Nowadays, processors alone cannot deliver what computation hungry image processing applications dema...
Field-Programmable Gate Arrays (FPGAs) and General Purpose Graphics Processing Units (GPUs) allow ac...
Computational requirements for computer vision algorithms have been increasing dramatically at a rat...
Real-time image and video processing is becoming increasingly important in many applications. A high...
Real-time image and video processing is becoming increasingly important in many applications. A high...
Field-Programmable Gate Arrays (FPGAs) and General Purpose Graphics Processing Units (GPUs) allow ac...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
Abstract: One of perspective means of hardware support of collection and processing of vis...
Current digital processing algorithms require more computing power to achieve more accurate results ...
This book presents a selection of papers representing current research on using field programmable g...
This paper focuses on a thorough comparison of the two main hardware targets for real-time optimizat...
CD-ROM included ; A thesis submitted to the Department of Electronic and Telecommunication Engineeri...
As demands for real-time computer vision applications increase, implementations on alternative archi...
As demands for real-time computer vision applications increase, implementations on alternative archi...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
Nowadays, processors alone cannot deliver what computation hungry image processing applications dema...
Field-Programmable Gate Arrays (FPGAs) and General Purpose Graphics Processing Units (GPUs) allow ac...
Computational requirements for computer vision algorithms have been increasing dramatically at a rat...
Real-time image and video processing is becoming increasingly important in many applications. A high...
Real-time image and video processing is becoming increasingly important in many applications. A high...
Field-Programmable Gate Arrays (FPGAs) and General Purpose Graphics Processing Units (GPUs) allow ac...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
Abstract: One of perspective means of hardware support of collection and processing of vis...
Current digital processing algorithms require more computing power to achieve more accurate results ...
This book presents a selection of papers representing current research on using field programmable g...