Image processing in early vision involves complex computational tasks, such as convolution operation with elongated Gaussian or Gabor-like functions. We show how these operators can be related to the signal processing by anisotropic patterns of interconnections. Applications to texture segregation are described
Abstract. During the last decade nonlinear anisotropic diffusion models have shown to be powerful me...
This book presents a mathematical methodology for image analysis tasks at the edge of current resear...
Above threshold, two superimposed sinusoidal gratings of the same spatial frequency (eg 1 cycle deg ...
Image processing in early vision involves complex computational tasks, such as convolution operation...
Active resistor meshes, characterized by a not homogeneous anisotropic pattern of local interconnect...
Abstract —The architecture of an active resistive mesh con-taining both positive and negative resist...
We derive the decomposition of the anisotropic Gaussian in a one dimensional Gauss filter in the x-d...
Abstract—We give an analytical and geometrical treatment of what it means to separate a Gaussian ker...
Visual anisotropy has been demonstrated in multiple tasks where performance differs between vertical...
Analog models provide a novel framework for understanding and developing algorithms for computer vis...
Lattice networks with nearest and next nearest interconnections, are characterized by Gabor-like imp...
International audienceIn this paper, we describe a statistical framework for the analysis ofanisotro...
The problem of representing the visual signal in the harmonic space guaranteeing a complete characte...
We give an analytical and geometrical treatment of what it means to sepa rate a Gaussian kernel alon...
Many computer and robot vision applications require multi-scale image analysis. Classically, this ha...
Abstract. During the last decade nonlinear anisotropic diffusion models have shown to be powerful me...
This book presents a mathematical methodology for image analysis tasks at the edge of current resear...
Above threshold, two superimposed sinusoidal gratings of the same spatial frequency (eg 1 cycle deg ...
Image processing in early vision involves complex computational tasks, such as convolution operation...
Active resistor meshes, characterized by a not homogeneous anisotropic pattern of local interconnect...
Abstract —The architecture of an active resistive mesh con-taining both positive and negative resist...
We derive the decomposition of the anisotropic Gaussian in a one dimensional Gauss filter in the x-d...
Abstract—We give an analytical and geometrical treatment of what it means to separate a Gaussian ker...
Visual anisotropy has been demonstrated in multiple tasks where performance differs between vertical...
Analog models provide a novel framework for understanding and developing algorithms for computer vis...
Lattice networks with nearest and next nearest interconnections, are characterized by Gabor-like imp...
International audienceIn this paper, we describe a statistical framework for the analysis ofanisotro...
The problem of representing the visual signal in the harmonic space guaranteeing a complete characte...
We give an analytical and geometrical treatment of what it means to sepa rate a Gaussian kernel alon...
Many computer and robot vision applications require multi-scale image analysis. Classically, this ha...
Abstract. During the last decade nonlinear anisotropic diffusion models have shown to be powerful me...
This book presents a mathematical methodology for image analysis tasks at the edge of current resear...
Above threshold, two superimposed sinusoidal gratings of the same spatial frequency (eg 1 cycle deg ...
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