Face analysis method and device based on adaptive edge enhancement, and storage medium
The invention discloses a face analysis method and device based on adaptive edge enhancement, and a storage medium. The method comprises the following steps: constructing a lightweight deep convolutional neural network; the neural network comprises an encoder, an adaptive edge enhancement module and...
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creator | SU CANPING ZHONG YONG'AN YU QINGZHOU |
description | The invention discloses a face analysis method and device based on adaptive edge enhancement, and a storage medium. The method comprises the following steps: constructing a lightweight deep convolutional neural network; the neural network comprises an encoder, an adaptive edge enhancement module and a decoder; the encoder encodes an input face image to obtain a face feature map with segmentation features; the adaptive edge enhancement module extracts edge features corresponding to the face feature map to obtain a face segmentation map with the edge features; the decoder fuses the segmentation features and the edge features through add operation to obtain segmentation features with adaptive edge features, so that the edge segmentation fineness can be improved; meanwhile, face analysis can be detected in real time at a mobile terminal by adopting a lightweight model, so that the experience feeling of the user in the scene of making up and the like is improved.
本发明公开了一种基于自适应边缘增强的人脸解析方法、装置及存储介质,其包括以下步骤:构建轻量级的深度卷积 |
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本发明公开了一种基于自适应边缘增强的人脸解析方法、装置及存储介质,其包括以下步骤:构建轻量级的深度卷积</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</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=20211224&DB=EPODOC&CC=CN&NR=113838073A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211224&DB=EPODOC&CC=CN&NR=113838073A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SU CANPING</creatorcontrib><creatorcontrib>ZHONG YONG'AN</creatorcontrib><creatorcontrib>YU QINGZHOU</creatorcontrib><title>Face analysis method and device based on adaptive edge enhancement, and storage medium</title><description>The invention discloses a face analysis method and device based on adaptive edge enhancement, and a storage medium. The method comprises the following steps: constructing a lightweight deep convolutional neural network; the neural network comprises an encoder, an adaptive edge enhancement module and a decoder; the encoder encodes an input face image to obtain a face feature map with segmentation features; the adaptive edge enhancement module extracts edge features corresponding to the face feature map to obtain a face segmentation map with the edge features; the decoder fuses the segmentation features and the edge features through add operation to obtain segmentation features with adaptive edge features, so that the edge segmentation fineness can be improved; meanwhile, face analysis can be detected in real time at a mobile terminal by adopting a lightweight model, so that the experience feeling of the user in the scene of making up and the like is improved.
本发明公开了一种基于自适应边缘增强的人脸解析方法、装置及存储介质,其包括以下步骤:构建轻量级的深度卷积</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjbEKAjEQRNNYiPoPsVfwSOG1cnhYWYntsd6OXuCyCW488O8N4gfYzDC8BzM315Z6WBIa3-rVBuQhctlsGZMv6EYKtlEsMaXsJ1jwo4QMJD0CJG--uub4pAIC2L_C0szuNCpWv16YdXu8NKctUuygqZwKctecq8rVrt7t3cH943wAs3E40g</recordid><startdate>20211224</startdate><enddate>20211224</enddate><creator>SU CANPING</creator><creator>ZHONG YONG'AN</creator><creator>YU QINGZHOU</creator><scope>EVB</scope></search><sort><creationdate>20211224</creationdate><title>Face analysis method and device based on adaptive edge enhancement, and storage medium</title><author>SU CANPING ; ZHONG YONG'AN ; YU QINGZHOU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113838073A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SU CANPING</creatorcontrib><creatorcontrib>ZHONG YONG'AN</creatorcontrib><creatorcontrib>YU QINGZHOU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SU CANPING</au><au>ZHONG YONG'AN</au><au>YU QINGZHOU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Face analysis method and device based on adaptive edge enhancement, and storage medium</title><date>2021-12-24</date><risdate>2021</risdate><abstract>The invention discloses a face analysis method and device based on adaptive edge enhancement, and a storage medium. The method comprises the following steps: constructing a lightweight deep convolutional neural network; the neural network comprises an encoder, an adaptive edge enhancement module and a decoder; the encoder encodes an input face image to obtain a face feature map with segmentation features; the adaptive edge enhancement module extracts edge features corresponding to the face feature map to obtain a face segmentation map with the edge features; the decoder fuses the segmentation features and the edge features through add operation to obtain segmentation features with adaptive edge features, so that the edge segmentation fineness can be improved; meanwhile, face analysis can be detected in real time at a mobile terminal by adopting a lightweight model, so that the experience feeling of the user in the scene of making up and the like is improved.
本发明公开了一种基于自适应边缘增强的人脸解析方法、装置及存储介质,其包括以下步骤:构建轻量级的深度卷积</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Face analysis method and device based on adaptive edge enhancement, and storage medium |
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