A robust composite metric for head pose tracking using an accurate face model

We present a method for full-motion recovery of the head pose from a monocular video input based on an accurate head model and textures. We build our face model using a distribution of high resolution 3D face scans. The cost of computations makes us select parts of this full model. To address the di...

Full description

Saved in:
Bibliographic Details
Main Authors: Phothisane, P, Bigorgne, E, Collot, L, Prevost, L
Format: Conference Proceeding
Language:English
Subjects:
Adaptation model
Computational modeling
Face
Shape
Solid modeling
Three dimensional displays
Tracking
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 699
container_issue
container_start_page 694
container_title
container_volume
creator Phothisane, P
Bigorgne, E
Collot, L
Prevost, L
description We present a method for full-motion recovery of the head pose from a monocular video input based on an accurate head model and textures. We build our face model using a distribution of high resolution 3D face scans. The cost of computations makes us select parts of this full model. To address the difficult task of initializing the model position and tracking its motion, we use a composite metric using face texture samples from three different face databases, following a positive face detection. The algorithm is subsequently able to track the head in a wide pose range with great accuracy. We also provide test video sequences with an independent accurate ground truth (with estimated RMS error of 0.1 degrees).
doi_str_mv 10.1109/FG.2011.5771332
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5771332</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5771332</ieee_id><sourcerecordid>5771332</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-c0a5360877f7373211495c803092e95ac5b1fdbd7d4c97da238be3743cd2ab823</originalsourceid><addsrcrecordid>eNo9T0FOwzAQNEJIQOmZAxd_IGHX69TxsapoQSri0nu1sR0wNE1lJwd-TxAVlxnNaHZHI8Q9QokI9nG9KRUglpUxSKQuxC1qpbVFsvXlv9CA12Ke8ycAIFBFi8WNeF3K1DdjHqTru1Of4xBkF4YUnWz7JD8CeznZQQ6J3Vc8vssx_yIfJTs3Jp7yLbvpqPfhcCeuWj7kMD_zTOzWT7vVc7F927ysltsiWhgKBzyVQ21Ma8iQQtS2cjUQWBVsxa5qsPWNN147azwrqptARpPzipta0Uw8_L2NIYT9KcWO0_f-vJ5-ADHKTNw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A robust composite metric for head pose tracking using an accurate face model</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Phothisane, P ; Bigorgne, E ; Collot, L ; Prevost, L</creator><creatorcontrib>Phothisane, P ; Bigorgne, E ; Collot, L ; Prevost, L</creatorcontrib><description>We present a method for full-motion recovery of the head pose from a monocular video input based on an accurate head model and textures. We build our face model using a distribution of high resolution 3D face scans. The cost of computations makes us select parts of this full model. To address the difficult task of initializing the model position and tracking its motion, we use a composite metric using face texture samples from three different face databases, following a positive face detection. The algorithm is subsequently able to track the head in a wide pose range with great accuracy. We also provide test video sequences with an independent accurate ground truth (with estimated RMS error of 0.1 degrees).</description><identifier>ISBN: 1424491401</identifier><identifier>ISBN: 9781424491407</identifier><identifier>EISBN: 1424491398</identifier><identifier>EISBN: 9781424491414</identifier><identifier>EISBN: 9781424491391</identifier><identifier>EISBN: 142449141X</identifier><identifier>DOI: 10.1109/FG.2011.5771332</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptation model ; Computational modeling ; Face ; Shape ; Solid modeling ; Three dimensional displays ; Tracking</subject><ispartof>Face and Gesture 2011, 2011, p.694-699</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5771332$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5771332$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Phothisane, P</creatorcontrib><creatorcontrib>Bigorgne, E</creatorcontrib><creatorcontrib>Collot, L</creatorcontrib><creatorcontrib>Prevost, L</creatorcontrib><title>A robust composite metric for head pose tracking using an accurate face model</title><title>Face and Gesture 2011</title><addtitle>FG</addtitle><description>We present a method for full-motion recovery of the head pose from a monocular video input based on an accurate head model and textures. We build our face model using a distribution of high resolution 3D face scans. The cost of computations makes us select parts of this full model. To address the difficult task of initializing the model position and tracking its motion, we use a composite metric using face texture samples from three different face databases, following a positive face detection. The algorithm is subsequently able to track the head in a wide pose range with great accuracy. We also provide test video sequences with an independent accurate ground truth (with estimated RMS error of 0.1 degrees).</description><subject>Adaptation model</subject><subject>Computational modeling</subject><subject>Face</subject><subject>Shape</subject><subject>Solid modeling</subject><subject>Three dimensional displays</subject><subject>Tracking</subject><isbn>1424491401</isbn><isbn>9781424491407</isbn><isbn>1424491398</isbn><isbn>9781424491414</isbn><isbn>9781424491391</isbn><isbn>142449141X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9T0FOwzAQNEJIQOmZAxd_IGHX69TxsapoQSri0nu1sR0wNE1lJwd-TxAVlxnNaHZHI8Q9QokI9nG9KRUglpUxSKQuxC1qpbVFsvXlv9CA12Ke8ycAIFBFi8WNeF3K1DdjHqTru1Of4xBkF4YUnWz7JD8CeznZQQ6J3Vc8vssx_yIfJTs3Jp7yLbvpqPfhcCeuWj7kMD_zTOzWT7vVc7F927ysltsiWhgKBzyVQ21Ma8iQQtS2cjUQWBVsxa5qsPWNN147azwrqptARpPzipta0Uw8_L2NIYT9KcWO0_f-vJ5-ADHKTNw</recordid><startdate>201103</startdate><enddate>201103</enddate><creator>Phothisane, P</creator><creator>Bigorgne, E</creator><creator>Collot, L</creator><creator>Prevost, L</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201103</creationdate><title>A robust composite metric for head pose tracking using an accurate face model</title><author>Phothisane, P ; Bigorgne, E ; Collot, L ; Prevost, L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c0a5360877f7373211495c803092e95ac5b1fdbd7d4c97da238be3743cd2ab823</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adaptation model</topic><topic>Computational modeling</topic><topic>Face</topic><topic>Shape</topic><topic>Solid modeling</topic><topic>Three dimensional displays</topic><topic>Tracking</topic><toplevel>online_resources</toplevel><creatorcontrib>Phothisane, P</creatorcontrib><creatorcontrib>Bigorgne, E</creatorcontrib><creatorcontrib>Collot, L</creatorcontrib><creatorcontrib>Prevost, L</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Phothisane, P</au><au>Bigorgne, E</au><au>Collot, L</au><au>Prevost, L</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A robust composite metric for head pose tracking using an accurate face model</atitle><btitle>Face and Gesture 2011</btitle><stitle>FG</stitle><date>2011-03</date><risdate>2011</risdate><spage>694</spage><epage>699</epage><pages>694-699</pages><isbn>1424491401</isbn><isbn>9781424491407</isbn><eisbn>1424491398</eisbn><eisbn>9781424491414</eisbn><eisbn>9781424491391</eisbn><eisbn>142449141X</eisbn><abstract>We present a method for full-motion recovery of the head pose from a monocular video input based on an accurate head model and textures. We build our face model using a distribution of high resolution 3D face scans. The cost of computations makes us select parts of this full model. To address the difficult task of initializing the model position and tracking its motion, we use a composite metric using face texture samples from three different face databases, following a positive face detection. The algorithm is subsequently able to track the head in a wide pose range with great accuracy. We also provide test video sequences with an independent accurate ground truth (with estimated RMS error of 0.1 degrees).</abstract><pub>IEEE</pub><doi>10.1109/FG.2011.5771332</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1424491401
ispartof Face and Gesture 2011, 2011, p.694-699
issn
language eng
recordid cdi_ieee_primary_5771332
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Adaptation model
Computational modeling
Face
Shape
Solid modeling
Three dimensional displays
Tracking
title A robust composite metric for head pose tracking using an accurate face model
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T19%3A00%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20robust%20composite%20metric%20for%20head%20pose%20tracking%20using%20an%20accurate%20face%20model&rft.btitle=Face%20and%20Gesture%202011&rft.au=Phothisane,%20P&rft.date=2011-03&rft.spage=694&rft.epage=699&rft.pages=694-699&rft.isbn=1424491401&rft.isbn_list=9781424491407&rft_id=info:doi/10.1109/FG.2011.5771332&rft.eisbn=1424491398&rft.eisbn_list=9781424491414&rft.eisbn_list=9781424491391&rft.eisbn_list=142449141X&rft_dat=%3Cieee_6IE%3E5771332%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-c0a5360877f7373211495c803092e95ac5b1fdbd7d4c97da238be3743cd2ab823%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5771332&rfr_iscdi=true