Now showing items 1-5 of 5
Data and Model-Driven Selection Using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts ...
Correspondence and Affine Shape from Two Orthographic Views: Motion and Recognition
The paper presents a simple model for recovering affine shape and correspondence from two orthographic views of a 3D object. It is shown that four corresponding points along two orthographic views, taken under similar ...
Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects
We have developed a new Bayesian framework for visual object recognition which is based on the insight that images of objects can be modeled as a conjunction of local features. This framework can be used to both derive ...
Recognizing 3-D Objects Using 2-D Images
We discuss a strategy for visual recognition by forming groups of salient image features, and then using these groups to index into a data base to find all of the matching groups of model features. We discuss the most ...
3D Object Recognition: Symmetry and Virtual Views
Many 3D objects in the world around us are strongly constrained. For instance, not only cultural artifacts but also many natural objects are bilaterally symmetric. Thoretical arguments suggest and psychophysical ...