Entrance detection from street-level imagery
US10872239B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 30, 2019 |
| Grant date | Dec 22, 2020 |
| Priority date | — |
| Expiry date | May 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T7/90
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Architecture that detects entrances on building facades. In a first stage, scene geometry is exploited and the multi-dimensional problem is reduced down to a one-dimensional (1D) problem. Entrance hypotheses are generated by considering pairs of locations along lines exhibiting strong gradients in the transverse direction. In a second stage, a rich set of discriminative image features for entrances is explored according to constructed designs, specifically focusing on properties such as symmetry and color consistency, for example. Classifiers (e.g., random forest) are utilized to perform automatic feature selection and entrance classification. In another stage, a joint model is formulated in three dimensions (3D) for entrances on a given facade, which enables the exploitation of physical constraints between different entrances on the same facade in a systematic manner to prune false positives, and thereby select an optimum set of entrances on a given facade.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.