Systems and methods for automatic estimation of object characteristics from digital images
US10943149B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2018 |
| Grant date | Mar 9, 2021 |
| Priority date | — |
| Expiry date | Jan 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/2504
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.