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Recognition and Localization of Overlapping Parts from Sparse Data
(1985-06-01)
This paper discusses how sparse local measurements of positions and surface normals may be used to identify and locate overlapping objects. The objects are modeled as polyhedra (or polygons) having up to six degreed ...
Robust and Efficient 3D Recognition by Alignment
(1992-09-01)
Alignment is a prevalent approach for recognizing 3D objects in 2D images. A major problem with current implementations is how to robustly handle errors that propagate from uncertainties in the locations of image ...
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 ...
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 ...
Receptive field structures for recognition
(2005-03-01)
Localized operators, like Gabor wavelets and difference-of-Gaussian filters, are considered to be useful tools for image representation. This is due to their ability to form a  sparse code that can serve as a basis set ...
Describing Surfaces
(1985-01-01)
This paper continues our work on visual representation s of three-dimensional surfaces [Brady and Yuille 1984b]. The theoretical component of our work is a study of classes of surface curves as a source of constraint ...
Limitations of Geometric Hashing in the Presence of Gaussian Noise
(1992-10-01)
This paper presents a detailed error analysis of geometric hashing for 2D object recogition. We analytically derive the probability of false positives and negatives as a function of the number of model and image, ...
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 ...
Recognizing 3D Ojbects of 2D Images: An Error Analysis
(1992-07-01)
Many object recognition systems use a small number of pairings of data and model features to compute the 3D transformation from a model coordinate frame into the sensor coordinate system. With perfect image data, these ...
Bringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognition
(1990-04-01)
We describe experiments with a versatile pictorial prototype based learning scheme for 3D object recognition. The GRBF scheme seems to be amenable to realization in biophysical hardware because the only kind of ...