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Component based recognition of objects in an office environment 

Morgenstern, Christian; Heisele, Bernd (2003-11-28)
We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity ...
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Rotation Invariant Object Recognition from One Training Example 

Yokono, Jerry Jun; Poggio, Tomaso (2004-04-27)
Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. Such a descriptor--based on a set of ...
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Generalization over contrast and mirror reversal, but not figure-ground reversal, in an "edge-based 

Riesenhuber, Maximilian (2001-12-10)
Baylis & Driver (Nature Neuroscience, 2001) have recently presented data on the response of neurons in macaque inferotemporal cortex (IT) to various stimulus transformations. They report that neurons can generalize over ...
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On the difficulty of feature-based attentional modulations in visual object recognition: A modeling study. 

Schneider, Robert; Riesenhuber, Maximilian (2004-01-14)
Numerous psychophysical experiments have shown an important role for attentional modulations in vision. Behaviorally, allocation of attention can improve performance in object detection and recognition tasks. At the neural ...
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Face processing in humans is compatible with a simple shape-based model of vision 

Riesenhuber; Jarudi; Gilad; Sinha (2004-03-05)
Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...
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Observations on Cortical Mechanisms for Object Recognition andsLearning 

Poggio, Tomaso; Hurlbert, Anya (1993-12-01)
This paper sketches a hypothetical cortical architecture for visual 3D object recognition based on a recent computational model. The view-centered scheme relies on modules for learning from examples, such as Hyperbf-like ...
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How are Three-Deminsional Objects Represented in the Brain? 

Buelthoff, Heinrich H.; Edelman, Shimon Y.; Tarr, Michael J. (1994-04-01)
We discuss a variety of object recognition experiments in which human subjects were presented with realistically rendered images of computer-generated three-dimensional objects, with tight control over stimulus shape, ...

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AuthorPoggio, Tomaso (2)Riesenhuber, Maximilian (2)Buelthoff, Heinrich H. (1)Edelman, Shimon Y. (1)Gilad (1)Heisele, Bernd (1)Hurlbert, Anya (1)Jarudi (1)Morgenstern, Christian (1)Riesenhuber (1)... View MoreSubject
object recognition (7)
AI (5)attention (1)component object recognition (1)comput (1)computational neuroscience (1)computer vision (1)faces (1)feature recognition (1)humanspsychophysics (1)... View MoreDate Issued2000 - 2004 (5)1993 - 1999 (2)Has File(s)Yes (7)

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