In this paper, we present an implementation of areal-time convolver, based on Field Programmable GateArrays (FPGA\u2019s) to perform the convolution operations.Main characteristics of the proposed approach are theusage of external memory to implement a FIFO bufferwhere incoming pixels are stored and the partitioning ofthe convolution matrix among several FPGA\u2019s, in order toallow data-parallel computation and to increase the size ofthe convolution kernel
Two-dimensional (2-D) convolution is a widely used operation in image processing and computer vision...
Recent years, with the development of Convolution Neural Networks (CNN), machine learning has achiev...
We present original approach to the design and implementation of the convolution computing unit in t...
In this paper, we present an implementation of areal-time convolver, based on Field Programmable Gat...
We present original approach to the design and implementation of the convolution in this article. Th...
Abstract. Convolution is a very important operation within artificial vision. It can be characterize...
This paper discusses the simple idea of parameterized program generation of convolution filters in a...
Image convolution is a common algorithm that can be found in most graphics editors. It is used to fi...
Abstract: Convolution is a formal mathematical operation, just as multiplication, addition, and inte...
Orientador: Eurípedes Guilherme de Oliveira NóbregaDissertação (mestrado) - Universidade Estadual de...
In order to simplify the hardware design and reduce the resource requirements, this paper proposes a...
Abstract: This paper continues a previous work on the design and implementation of a real time, sin-...
The aim of this work is to provide a practical solution to the computation intensive convolution tas...
This paper presents a direct method of reducing convolution processing time using hardware computing...
The Digital Image Processing convolution is core block for Convolution Neural Networks (CNN) which i...
Two-dimensional (2-D) convolution is a widely used operation in image processing and computer vision...
Recent years, with the development of Convolution Neural Networks (CNN), machine learning has achiev...
We present original approach to the design and implementation of the convolution computing unit in t...
In this paper, we present an implementation of areal-time convolver, based on Field Programmable Gat...
We present original approach to the design and implementation of the convolution in this article. Th...
Abstract. Convolution is a very important operation within artificial vision. It can be characterize...
This paper discusses the simple idea of parameterized program generation of convolution filters in a...
Image convolution is a common algorithm that can be found in most graphics editors. It is used to fi...
Abstract: Convolution is a formal mathematical operation, just as multiplication, addition, and inte...
Orientador: Eurípedes Guilherme de Oliveira NóbregaDissertação (mestrado) - Universidade Estadual de...
In order to simplify the hardware design and reduce the resource requirements, this paper proposes a...
Abstract: This paper continues a previous work on the design and implementation of a real time, sin-...
The aim of this work is to provide a practical solution to the computation intensive convolution tas...
This paper presents a direct method of reducing convolution processing time using hardware computing...
The Digital Image Processing convolution is core block for Convolution Neural Networks (CNN) which i...
Two-dimensional (2-D) convolution is a widely used operation in image processing and computer vision...
Recent years, with the development of Convolution Neural Networks (CNN), machine learning has achiev...
We present original approach to the design and implementation of the convolution computing unit in t...