Published October 5, 2017 | Version Published
Patent Open

System and Method for Locating and Performing Fine Grained Classification from Multi-View Image Data

Abstract

Some embodiments of the invention provide a method for identifying geographic locations and for performing a fine-grained classification of elements detected in images captured from multiple different viewpoints or perspectives. In several embodiments, the method identifies the geographic locations by probabilistically combining predictions from the different viewpoints by warping their outputs to a common geographic coordinate frame. The method of certain embodiments performs the fine-grained classification based on image portions from several images associated with a particular geographic location, where the images are captured from different perspectives and/or zoom levels.

Additional Information

Application filed: April 3, 2017. Application published: October 5, 2017.

Attached Files

Published - US20170287170A1.pdf

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Additional details

Identifiers

Eprint ID
87332
Resolver ID
CaltechAUTHORS:20180622-124600364

Dates

Created
2018-07-05
Created from EPrint's datestamp field
Updated
2019-10-03
Created from EPrint's last_modified field