ANTI-SPOOFING
An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image...
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creator | RODRIGUEZ, Francisco Angel Garcia NIKITIDIS, Symeon NEUGBER, Samuel DAVIDSON, Erlend |
description | An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts. |
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Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211006&DB=EPODOC&CC=EP&NR=3888001A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211006&DB=EPODOC&CC=EP&NR=3888001A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>RODRIGUEZ, Francisco Angel Garcia</creatorcontrib><creatorcontrib>NIKITIDIS, Symeon</creatorcontrib><creatorcontrib>NEUGBER, Samuel</creatorcontrib><creatorcontrib>DAVIDSON, Erlend</creatorcontrib><title>ANTI-SPOOFING</title><description>An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZOB19Avx1A0O8Pd38_Rz52FgTUvMKU7lhdLcDApuriHOHrqpBfnxqcUFicmpeakl8a4BxhYWFgYGho6GxkQoAQB63BxS</recordid><startdate>20211006</startdate><enddate>20211006</enddate><creator>RODRIGUEZ, Francisco Angel Garcia</creator><creator>NIKITIDIS, Symeon</creator><creator>NEUGBER, Samuel</creator><creator>DAVIDSON, Erlend</creator><scope>EVB</scope></search><sort><creationdate>20211006</creationdate><title>ANTI-SPOOFING</title><author>RODRIGUEZ, Francisco Angel Garcia ; NIKITIDIS, Symeon ; NEUGBER, Samuel ; DAVIDSON, Erlend</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3888001A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>RODRIGUEZ, Francisco Angel Garcia</creatorcontrib><creatorcontrib>NIKITIDIS, Symeon</creatorcontrib><creatorcontrib>NEUGBER, Samuel</creatorcontrib><creatorcontrib>DAVIDSON, Erlend</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>RODRIGUEZ, Francisco Angel Garcia</au><au>NIKITIDIS, Symeon</au><au>NEUGBER, Samuel</au><au>DAVIDSON, Erlend</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ANTI-SPOOFING</title><date>2021-10-06</date><risdate>2021</risdate><abstract>An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. 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subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | ANTI-SPOOFING |
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