Add to ORKGAs a contribution to handling the symbol grounding problem in AI an object recognition system is presented that is exemplied with human faces. It diers from earlier systems by a pyramidal representation and the ability to cope with structured background.
138 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.While the techniques have bee...
Many current human face detection algorithms make implicit assumptions about the scale, orientation ...
An attention-based image recognition model is proposed. When analyze complex visual field or pattern...
As a contribution to handling the symbol grounding problem in AI an object recognition system is pre...
Recognition systems based on model matching using low level features often fail due to a variation i...
Recognition systems based on model matching using low level features often fail due to a variation i...
In this paper, we propose a new context-based method for object recognition. We first introduce a ne...
Our understanding of the mechanisms and neural substrates underlying visual recognition in humans ha...
The symbol grounding problem, described recently by Harnad, states that the symbols which a traditio...
A working face recognition system requires the ability to represent facial images in such a way that...
Pattern recognition system developers have looked in multiple directions over the years and designed...
A complete face recognition system is proposed in this paper by introducing the concepts of foregrou...
A good face detection system should have the ability to identify objects with varying degrees of ill...
A working face recognition system requires the ability to represent facial images in such a way that...
The human visual system is remarkably proficient at the task of identifying faces, even under severe...
138 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.While the techniques have bee...
Many current human face detection algorithms make implicit assumptions about the scale, orientation ...
An attention-based image recognition model is proposed. When analyze complex visual field or pattern...
As a contribution to handling the symbol grounding problem in AI an object recognition system is pre...
Recognition systems based on model matching using low level features often fail due to a variation i...
Recognition systems based on model matching using low level features often fail due to a variation i...
In this paper, we propose a new context-based method for object recognition. We first introduce a ne...
Our understanding of the mechanisms and neural substrates underlying visual recognition in humans ha...
The symbol grounding problem, described recently by Harnad, states that the symbols which a traditio...
A working face recognition system requires the ability to represent facial images in such a way that...
Pattern recognition system developers have looked in multiple directions over the years and designed...
A complete face recognition system is proposed in this paper by introducing the concepts of foregrou...
A good face detection system should have the ability to identify objects with varying degrees of ill...
A working face recognition system requires the ability to represent facial images in such a way that...
The human visual system is remarkably proficient at the task of identifying faces, even under severe...
138 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.While the techniques have bee...
Many current human face detection algorithms make implicit assumptions about the scale, orientation ...
An attention-based image recognition model is proposed. When analyze complex visual field or pattern...