Machine vision methods for determining characteristics of an object using boundary points and bounding regions
US5974169A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Mar 20, 1997 |
| Grant date | Oct 26, 1999 |
| Priority date | — |
| Expiry date | Mar 20, 2017 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30141
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine vision methods for determining a characteristic (such as position, orientation, size, center of mass, and boundary) of an object in an image include finding points in the image on the boundary of the object; identifying bounding boxes, or regions, in the image that correspond to edges of the object; and labeling boundary points to denote which respective edges, if any, to which they belong based on (i) the locations and orientations of those points, and (ii) locations of the plural bounding boxes. Points apparently lying on a boundary of the object, but outside a bounding box, can be ignored--and, more particularly, are denoted as not corresponding to an edge. Likewise, apparent boundary points lying within a bounding box, but at an angle not associated with the corresponding to the respective edge of the object, can also be ignored. Characteristics of the imaged object are determined as a function of those boundary points found to correspond to an edge of the object (e.g., points lying within a bounding box, at the expected angle, and not too far from a line connecting similarly situated points). Characteristics of the object, such as position, orientation, size, center of…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.