Intrator (1990) proposed a feature extraction method that is related to recent statistical theory (Huber, 1985; Friedman, 1987) and is based on a biologically motivated model of neuronal plasticity (Bienenstock et al., 1982). This method has been recently applied to feature extraction in the context of recognizing 3D objects from single 2D views (Intrator and Gold, 1991). Here we describe experiments designed to analyze the nature of the extracted features, and their relevance to the theory and psychophysics of object recognition
This report describes the main features of a view-based model of object recognition. The model does ...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
Intrator (1990) proposed a feature extraction method that is related to recent statistical theory (H...
A novel method for feature extraction has been applied to a problem of three-dimensional object reco...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Theories of visual object recognition must solve the problem of recognizing 3D objects given that pe...
Does the human brain represent objects for recognition by storing a series of two-dimensional snapsh...
Object recognition is one of many tasks in which the computer is still behind the human. Therefore, ...
The topics discussed here are network models of object recognition; a computational theory of recogn...
In this report we discuss a variety of psychophysical experiments that explore different aspects of ...
We propose to assess the relevance of theories of synaptic modification as models of feature extract...
A persistent issue of debate in the area of 3D object recognition concerns the nature of the exper...
Computational or information-processing theories of vision describe object recognition in terms of a...
This report describes the main features of a view-based model of object recognition. The model does ...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
Intrator (1990) proposed a feature extraction method that is related to recent statistical theory (H...
A novel method for feature extraction has been applied to a problem of three-dimensional object reco...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Theories of visual object recognition must solve the problem of recognizing 3D objects given that pe...
Does the human brain represent objects for recognition by storing a series of two-dimensional snapsh...
Object recognition is one of many tasks in which the computer is still behind the human. Therefore, ...
The topics discussed here are network models of object recognition; a computational theory of recogn...
In this report we discuss a variety of psychophysical experiments that explore different aspects of ...
We propose to assess the relevance of theories of synaptic modification as models of feature extract...
A persistent issue of debate in the area of 3D object recognition concerns the nature of the exper...
Computational or information-processing theories of vision describe object recognition in terms of a...
This report describes the main features of a view-based model of object recognition. The model does ...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
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