n this article, we present a new reconfigurable parallel architecture oriented to video-rate computer vision applications. This architecture is structured with a two-dimensional (2D) array of FPGA/DSP-based reprogrammable processors Pij. These processors are inter-connected by means of a systolic 2D array of FPGA-based video-addressing units which allow video-rate links between any two processors in the net to overcome the associated restrictions in classic crossbar systems such as those which occur with butterfly connections. This architecture has been designed to deal with parallel/pipeline procedures, performing operations which handle various simultaneous input images, and cover a wide range of real-time computer vision applications fro...
The Digital Image Processing convolution is core block for Convolution Neural Networks (CNN) which i...
Historically, attaining high performance in image processing has always been a challenge since 1960s...
International audienceArtificial vision requires of large amount of computing power, especially when...
Computer Vision has gone through a significant evolution in the last decade, whilst finding its way ...
Abstract- With the advent of mobile embedded multimedia devices that are required to perform a range...
CD-ROM included ; A thesis submitted to the Department of Electronic and Telecommunication Engineeri...
In order to achieve application dependent "real-time" performance, it is necessary with the technolo...
A single-chip FPGA implementation of a vision core is an efficient way to design fast and compact em...
FPGA devices in Reconfigurable Computers (RCs) al-low datapath, memory, and processing elements (PEs...
International audienceThis paper presents a novel systolic Coarse-Grained Reconfigurable Architectur...
Abstract. Convolution is a very important operation within artificial vision. It can be characterize...
Real-time image processing and computer vision systems are now in the mainstream of technologies ena...
This PhD work has resulted in the development of a set of novel architectures and algorithms for hig...
A novel system architecture that exploits the spatial locality in memory access that is found in mos...
Real-Time Image Processing and Computer Vision systems are now in the mainstream of technologies ena...
The Digital Image Processing convolution is core block for Convolution Neural Networks (CNN) which i...
Historically, attaining high performance in image processing has always been a challenge since 1960s...
International audienceArtificial vision requires of large amount of computing power, especially when...
Computer Vision has gone through a significant evolution in the last decade, whilst finding its way ...
Abstract- With the advent of mobile embedded multimedia devices that are required to perform a range...
CD-ROM included ; A thesis submitted to the Department of Electronic and Telecommunication Engineeri...
In order to achieve application dependent "real-time" performance, it is necessary with the technolo...
A single-chip FPGA implementation of a vision core is an efficient way to design fast and compact em...
FPGA devices in Reconfigurable Computers (RCs) al-low datapath, memory, and processing elements (PEs...
International audienceThis paper presents a novel systolic Coarse-Grained Reconfigurable Architectur...
Abstract. Convolution is a very important operation within artificial vision. It can be characterize...
Real-time image processing and computer vision systems are now in the mainstream of technologies ena...
This PhD work has resulted in the development of a set of novel architectures and algorithms for hig...
A novel system architecture that exploits the spatial locality in memory access that is found in mos...
Real-Time Image Processing and Computer Vision systems are now in the mainstream of technologies ena...
The Digital Image Processing convolution is core block for Convolution Neural Networks (CNN) which i...
Historically, attaining high performance in image processing has always been a challenge since 1960s...
International audienceArtificial vision requires of large amount of computing power, especially when...