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On the Sensitivity of the Hough Transform for Object Recognition
(1988-05-01)
A common method for finding an object's pose is the generalized Hough transform, which accumulates evidence for possible coordinate transformations in a parameter space and takes large clusters of similar transformations ...
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, ...
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 ...
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 ...
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 ...
Selectivity of Local Field Potentials in Macaque Inferior Temporal Cortex
(2004-09-21)
While single neurons in inferior temporal (IT) cortex show differential responses to distinct complex stimuli, little is known about the responses of populations of neurons in IT. We recorded single electrode data, including ...
Recognition and Structure from One 2D Model View: Observations on Prototypes, Object Classes and Symmetries
(1992-02-01)
In this note we discuss how recognition can be achieved from a single 2D model view exploiting prior knowledge of an object's structure (e.g. symmetry). We prove that for any bilaterally symmetric 3D object one non- ...
The Computational Study of Vision
(1988-04-01)
The computational approach to the study of vision inquires directly into the sort of information processing needed to extract important information from the changing visual image---information such as the three-dimensional ...
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 ...