Perceptual Organization and Visual Recognition
Abstract
A computational model is presented for the visual recognition of three-dimensional objects based upon their spatial correspondence with two- dimensional features in an image. A number of components of this model are developed in further detail and implemented as computer algorithms. At the highest level, a verification process has been developed which can determine exact values of viewpoint and object parameters from hypothesized matches between three-dimensional object features and two-dimensional image features. This provides a reliable quantitative procedure for evaluating the correctness of an interpretation, even in the presence of noise or occlusion. Given a reliable method for final evaluation of correspondence, the remaining components of the system are aimed at reducing rthe size of the search space which must be covered. Unlike many previous approaches, this recognition process does not assume that is is possible to directly derive depth information from the image. Instead, the primary descriptive component is a process of perceptual organization, which spatial relations are detected directly among two- dimensional image features. A basic requirement of the recognition process is that perceptual organization should accurately distinguish meaningful groupings from those which arise by accident of viewpoint or position.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1984
- Accession Number
- ADA150826
Entities
People
- D. G. Lowe
Organizations
- Stanford University