Invention Grant
- Patent Title: Method, system, and device for learned invariant feature transform for computer images
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Application No.: US15636658Application Date: 2017-06-29
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Publication No.: US10552709B2Publication Date: 2020-02-04
- Inventor: Pascal Fua , Vincent Lepetit , Eduard Fortuny Trulls , Kwang Moo Yi
- Applicant: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
- Applicant Address: CH Lausanne
- Assignee: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
- Current Assignee: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
- Current Assignee Address: CH Lausanne
- Agency: Andre Roland S.A.
- Agent Nikolaus Schibli
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06K9/62 ; G06F16/51 ; G06F16/583 ; G06K9/00 ; G06N3/02

Abstract:
A method for training a feature detector of an image processing device, including the steps of detecting features in the image to generate a score map, computing a center of mass on the score map to generate a location, extracting a patch from the image at the location by a first spatial transformer, estimating an orientation of the patch, rotating the patch in accordance with the patch orientation with a second spatial transformer, and describing the rotated patch to create a description vector.
Public/Granted literature
- US20180096224A1 Method, System, and Device for Learned Invariant Feature Transform for Computer Images Public/Granted day:2018-04-05
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