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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 ...
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 ...
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 ...
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 ...
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, ...
The Combinatorics of Heuristic Search Termination for Object Recognition in Cluttered Environments
(1989-05-01)
Many recognition systems use constrained search to locate objects in cluttered environments. Earlier analysis showed that the expected search is quadratic in the number of model and data features, if all the data comes ...
On the Verification of Hypothesized Matches in Model-Based Recognition
(1989-05-01)
In model-based recognition, ad hoc techniques are used to decide if a match of data to model is correct. Generally an empirically determined threshold is placed on the fraction of model features that must be matched. ...
On the Recognition of Parameterized Objects
(1987-10-01)
Determining the identity and pose of occluded objects from noisy data is a critical step in interacting intelligently with an unstructured environment. Previous work has shown that local measurements of position and ...
On the Recognition of Curved Objects
(1987-07-01)
Determining the identity and pose of occluded objects from noisy data is a critical part of a system's intelligent interaction with an unstructured environment. Previous work has shown that local measurements of the ...
Robust 2-D Model-Based Object Recognition
(1988-05-01)
Techniques, suitable for parallel implementation, for robust 2D model-based object recognition in the presence of sensor error are studied. Models and scene data are represented as local geometric features and robust ...