Invention Grant
- Patent Title: Method and image processing entity for applying a convolutional neural network to an image
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Application No.: US16208587Application Date: 2018-12-04
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Publication No.: US10832076B2Publication Date: 2020-11-10
- Inventor: Niclas Danielsson , Simon Molin , Markus Skans
- Applicant: Axis AB
- Applicant Address: SE Lund
- Assignee: AXIS AB
- Current Assignee: AXIS AB
- Current Assignee Address: SE Lund
- Agency: Xsensus LLP
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@47efeadd
- Main IPC: G06K9/32
- IPC: G06K9/32 ; G06K9/48 ; G06T7/00 ; G06K9/62 ; G06T7/44 ; G06N3/08 ; G06N3/04 ; G06K9/46

Abstract:
A method and an image processing entity for applying a convolutional neural network to an image are disclosed. The image processing entity processes the image while using the convolutional kernel to render a feature map, whereby a second feature map size of the feature map is greater than a first feature map size of the feature maps with which the feature kernel was trained. Furthermore, the image processing entity repeatedly applies the feature kernel to the feature map in a stepwise manner, wherein the feature kernel was trained to identify the feature based on the feature maps of the first feature maps, wherein the feature kernel has the first feature map size.
Public/Granted literature
- US20190188512A1 METHOD AND IMAGE PROCESSING ENTITY FOR APPLYING A CONVOLUTIONAL NEURAL NETWORK TO AN IMAGE Public/Granted day:2019-06-20
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