Image recognition method
US6668084B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 28, 2000 |
| Grant date | Dec 23, 2003 |
| Priority date | — |
| Expiry date | Mar 28, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/248
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides an image recognition method whereby the influence of noise due to fluctuations of the ambient environment can be minimized and which has good response and high recognition accuracy, without using binary processing. In the image recognition of the present invention, search models where the shape and luminance value distribution of an object are modeled, are stored as image data in advance, and when multi-grayscale image data including the object is input (Step 1), the plurality of search models are distributed in the image sensing area of this input image data (Step 2), the goodness-of-fit for indicating correlation with the object is calculated for each one of the search models (Step 3), the search models are rearranged based on the goodness-of-fit (Step 5), selected (Step 6), crossed and regenerated (Step 7), and mutated and regenerated (Step 8), and through executing this genetic control, the optimum solution of the position and orientation information of the object is searched.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.