Add to ORKGAbstract – A simple contribution to spatial novelty detection in stereo-vision systems for mobile vehicles in indoor motion is presented by synthesizing a Cellular Nonlinear Network (CNN) for processing perspective images with light-dependent semantic content. Enhanced contrast images are generated by means of a fuzzy evaluation cellular subnet. Spatial novelty images can be subsequently obtained by cascading proper cellular subnets. Quality contrast evaluations are then performed on spatial novelty images using a dedicated cellular circuit. A test case is reported, to show how the suggested cellular system can provide useful information for stereo vision systems
We propose a Cellular Nonlinear Network (CNN) ruled by reaction-diffusion equations for quality cont...
In this paper, we propose a new concept to process the huge information of networked vision systems....
In this thesis, the application of biomimetic vision models is proposed and evaluated in the field o...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
A Cellular Nonlinear Network (CNN) based on uncoupled nonlinear oscillators is proposed for image pr...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
Use of Cellular Neural Networks is proposed as a tool for artificial vision. Space-variant processin...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
Abstract− − In this paper, a systematic discussion of both pros and cons of two well-known tradition...
Supervised learning has been considered as a hot topic as it is used in different fields that can ex...
The real-time estimation of the distance of objects from an observer is a critical issue in several ...
In this paper we describe a system for perspective-effect removal using the cellular automata paradi...
In this paper we apply cellular neural networks for color image segmentation. Color aerial photograp...
Mobile robot applications that involve automated exploration and inspection of environments are ofte...
We propose a Cellular Nonlinear Network (CNN) ruled by reaction-diffusion equations for quality cont...
In this paper, we propose a new concept to process the huge information of networked vision systems....
In this thesis, the application of biomimetic vision models is proposed and evaluated in the field o...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
A Cellular Nonlinear Network (CNN) based on uncoupled nonlinear oscillators is proposed for image pr...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
Use of Cellular Neural Networks is proposed as a tool for artificial vision. Space-variant processin...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
Abstract− − In this paper, a systematic discussion of both pros and cons of two well-known tradition...
Supervised learning has been considered as a hot topic as it is used in different fields that can ex...
The real-time estimation of the distance of objects from an observer is a critical issue in several ...
In this paper we describe a system for perspective-effect removal using the cellular automata paradi...
In this paper we apply cellular neural networks for color image segmentation. Color aerial photograp...
Mobile robot applications that involve automated exploration and inspection of environments are ofte...
We propose a Cellular Nonlinear Network (CNN) ruled by reaction-diffusion equations for quality cont...
In this paper, we propose a new concept to process the huge information of networked vision systems....
In this thesis, the application of biomimetic vision models is proposed and evaluated in the field o...