Entrance detection from street-level imagery
AssigneeUber Technologies, Inc.
InventorsJingchen Liu, Vasudev Parameswaran, Thommen Korah, Varsha Hedau, Radek Grzeszczuk, Yanxi Liu
Life of this patent
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AssigneeUber Technologies, Inc.
InventorsJingchen Liu, Vasudev Parameswaran, Thommen Korah, Varsha Hedau, Radek Grzeszczuk, Yanxi Liu
Estimating the term…
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.
A computer-implemented method comprising:
A system for detecting entrances in images of structural facades, comprising:
A computer-readable hardware storage medium comprising computer-executable instructions for detecting entrances in images of structural facades that when executed by a processor, cause the processor to:
Dependencies are inferred from the claim text.