Method and system for direct classification from three dimensional digital imaging
US7046841B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2003 |
| Grant date | May 16, 2006 |
| Priority date | — |
| Expiry date | Nov 1, 2023 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S17/89
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
An automated system and/or method is disclosed for rapidly, accurately, and efficiently processing bulk three-dimensional digital image data of both path/corridor and area scenes to discriminate different structures or classifications of objects from within the image. The method first decomposes the three-dimensional digital imagery coordinate points into simple local structures and then extracts the globally complex structures from the local structures. The system and/or method incorporates procedures for sub-dividing the three-dimensional image data into rectilinear and/or ellipsoidal finite element cells, mathematically analyzing the contents (point coordinates) of each individual cell to classify/define the local structure, and extracting the globally complex structure or object from the image. The system and/or method applies accepted mathematical formulas to filter or classify large volumes of apparently random three-dimensional point coordinate spatial data into simpler structures and then to extract more globally complex objects generally encountered within the real world imagery scene being investigated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.