Selective-visual-attention algorithms have been successfully implemented in analog VLSI circuits.1 However, in addition to the usual issues of analog VLSI—such as the need to fi ne-tune a large number of biases— these implementations lack the spatial resolution and pre-processing capabilities to be truly useful for image-processing applications. Here we take an alternative approach and implement a neuro-mimetic algorithm for selective visual attention in digital hardware
In the last ten years, significant progress has been made in understanding the first steps in visual...
International audienceThe human vision has been studied deeply in the past years, and several differ...
International audienceAttention-based bio-inspired vision can be studied as a different way to consi...
Selective-visual-attention algorithms have been successfully implemented in analog VLSI circuits.1...
Artificial vision systems of autonomous agents face very difficult challenges, as their vision senso...
The human brain is by far the most computationally complex, efficient, and reliable computing system...
A one-dimensional visual tracking chip has been implemented using neuromorphic, analog VLSI techniqu...
Selective attention is a mechanisms used to sequentially select the spatial loca-tions of salient re...
Biological vision components like visual attention (VA) algorithms aim to mimic the mechanism of the...
Neuromorphic engineering takes inspiration from biology to solve engineering problems using the org...
Abstract In real world scenarios, guiding vision to focus on salient parts of the visual space is a ...
Integration of photosensors and processing elements provides a mechanism to concurrently perform com...
International audienceThe GPIG team from GIPSA-Lab works on visual attention models that mimic the c...
International audienceThis paper presents a biologically inspired modular hardware implementation of...
Some well understood and well justified algorithms for early visual processing must be implemented...
In the last ten years, significant progress has been made in understanding the first steps in visual...
International audienceThe human vision has been studied deeply in the past years, and several differ...
International audienceAttention-based bio-inspired vision can be studied as a different way to consi...
Selective-visual-attention algorithms have been successfully implemented in analog VLSI circuits.1...
Artificial vision systems of autonomous agents face very difficult challenges, as their vision senso...
The human brain is by far the most computationally complex, efficient, and reliable computing system...
A one-dimensional visual tracking chip has been implemented using neuromorphic, analog VLSI techniqu...
Selective attention is a mechanisms used to sequentially select the spatial loca-tions of salient re...
Biological vision components like visual attention (VA) algorithms aim to mimic the mechanism of the...
Neuromorphic engineering takes inspiration from biology to solve engineering problems using the org...
Abstract In real world scenarios, guiding vision to focus on salient parts of the visual space is a ...
Integration of photosensors and processing elements provides a mechanism to concurrently perform com...
International audienceThe GPIG team from GIPSA-Lab works on visual attention models that mimic the c...
International audienceThis paper presents a biologically inspired modular hardware implementation of...
Some well understood and well justified algorithms for early visual processing must be implemented...
In the last ten years, significant progress has been made in understanding the first steps in visual...
International audienceThe human vision has been studied deeply in the past years, and several differ...
International audienceAttention-based bio-inspired vision can be studied as a different way to consi...