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Learning Generic Invariances in Object Recognition: Translation and Scale
(2010-12-30)
Invariance to various transformations is key to object recognition but existing definitions of invariance are somewhat confusing while discussions of invariance are often confused. In this report, we provide an operational ...
How to Play Twenty Questions with Nature and Win
(1982-12-01)
The 20 Questions Game played by children has an impressive record of rapidly guessing an arbitrarily selected object with rather few, well-chosen questions. This same strategy can be used to drive the perceptual process, ...
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, ...
Pyramid Match Kernels: Discriminative Classification with Sets of Image Features
(2005-03-17)
Discriminative learning is challenging when examples are setsof local image features, and the sets vary in cardinality and lackany sort of meaningful ordering. Kernel-based classificationmethods can learn complex decision ...
Examining high level neural representations of cluttered scenes
(2010-07-29)
Humans and other primates can rapidly categorize objects even when they are embedded in complex visual scenes (Thorpe et al., 1996; Fabre-Thorpe et al., 1998). Studies by Serre et al., 2007 have shown that the ability of ...
Comparing Visual Features for Morphing Based Recognition
(2005-05-25)
This thesis presents a method of object classification using the idea of deformable shape matching. Three types of visual features, geometric blur, C1 and SIFT, are used to generate feature descriptors. These feature ...
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 ...
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 ...
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 ...
Space Efficient 3D Model Indexing
(1992-02-01)
We show that we can optimally represent the set of 2D images produced by the point features of a rigid 3D model as two lines in two high-dimensional spaces. We then decribe a working recognition system in which we ...