Browsing CBCL Memos (1993 - 2004) by Subject "object recognition"
Now showing items 1-7 of 7
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Component based recognition of objects in an office environment
(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 ... -
Face processing in humans is compatible with a simple shape-based model of vision
(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 ... -
Generalization over contrast and mirror reversal, but not figure-ground reversal, in an "edge-based
(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 ... -
How are Three-Deminsional Objects Represented in the Brain?
(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, ... -
Observations on Cortical Mechanisms for Object Recognition andsLearning
(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 ... -
On the difficulty of feature-based attentional modulations in visual object recognition: A modeling study.
(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 ... -
Rotation Invariant Object Recognition from One Training Example
(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 ...