Canonical correlation analysis of image/control-point location coupling for the automatic location of control points
US6628821B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2002 |
| Grant date | Sep 30, 2003 |
| Priority date | — |
| Expiry date | May 13, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/476
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.