An efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models
We propose the efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models (3DMMs). The conventional ICIA fitting method for 3DMMs requires a long computation time because the 3D face model contains a large number of vertices and it also requires to compute the Hessian matrix usi...
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creator | Bong-Nam Kang Daijin Kim Hyeran Byun |
description | We propose the efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models (3DMMs). The conventional ICIA fitting method for 3DMMs requires a long computation time because the 3D face model contains a large number of vertices and it also requires to compute the Hessian matrix using the visible vertices every iteration. For the efficient fitting, we use the hierarchical fitting that use a set of multi-resolution 3D face model and the Gaussian image pyramid. For more accurate fitting, we use a two-stage parameter update that only update the rigid and the texture parameters and then update all parameters after the initial convergence. We present several experiment results to prove that our proposed method shows better performance than previous works. |
doi_str_mv | 10.1109/AFGR.2008.4813373 |
format | Conference Proceeding |
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The conventional ICIA fitting method for 3DMMs requires a long computation time because the 3D face model contains a large number of vertices and it also requires to compute the Hessian matrix using the visible vertices every iteration. For the efficient fitting, we use the hierarchical fitting that use a set of multi-resolution 3D face model and the Gaussian image pyramid. For more accurate fitting, we use a two-stage parameter update that only update the rigid and the texture parameters and then update all parameters after the initial convergence. 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The conventional ICIA fitting method for 3DMMs requires a long computation time because the 3D face model contains a large number of vertices and it also requires to compute the Hessian matrix using the visible vertices every iteration. For the efficient fitting, we use the hierarchical fitting that use a set of multi-resolution 3D face model and the Gaussian image pyramid. For more accurate fitting, we use a two-stage parameter update that only update the rigid and the texture parameters and then update all parameters after the initial convergence. We present several experiment results to prove that our proposed method shows better performance than previous works.</description><subject>Active appearance model</subject><subject>Active shape model</subject><subject>Computer science</subject><subject>Convergence</subject><subject>Face detection</subject><subject>Face recognition</subject><subject>Image resolution</subject><subject>Jacobian matrices</subject><subject>Shape control</subject><subject>Stability</subject><isbn>1424421535</isbn><isbn>9781424421534</isbn><isbn>1424421543</isbn><isbn>9781424421541</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFUFFLwzAYjMhAN_cDxJf8gdYkX7omj2W6WZgIY-8jTb7YSNeOND74761s4L3cHXfcwxHyyFnOOdPP1Wa7zwVjKpeKA5RwQ-ZcCikFLyTc_hsoZmT-V9SMaSbuyHIcv9gEOUVa3pN91VP0PtiAfaKmd9RY-x1NQtoGjCbaNljT0XpdV9SHlEL_SU-Y2sFRP0QKL_R9iOfWNB1OymE3PpCZN92IyysvyGHzeli_ZbuPbb2udlnQLGWFXKFQTeEUonEGS1SNsgKgULwE7p0vnUcDAI3hyDiH0nLpVqB0YwE0LMjTZTYg4vEcw8nEn-P1D_gFu0lRLw</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Bong-Nam Kang</creator><creator>Daijin Kim</creator><creator>Hyeran Byun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200809</creationdate><title>An efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models</title><author>Bong-Nam Kang ; Daijin Kim ; Hyeran Byun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-546e28b5d8eeadae7e8b8c233581731fdf7dfea333ba1e01137c14d6389bc3393</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Active appearance model</topic><topic>Active shape model</topic><topic>Computer science</topic><topic>Convergence</topic><topic>Face detection</topic><topic>Face recognition</topic><topic>Image resolution</topic><topic>Jacobian matrices</topic><topic>Shape control</topic><topic>Stability</topic><toplevel>online_resources</toplevel><creatorcontrib>Bong-Nam Kang</creatorcontrib><creatorcontrib>Daijin Kim</creatorcontrib><creatorcontrib>Hyeran Byun</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>Bong-Nam Kang</au><au>Daijin Kim</au><au>Hyeran Byun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models</atitle><btitle>2008 8th IEEE International Conference on Automatic Face & Gesture Recognition</btitle><stitle>AFGR</stitle><date>2008-09</date><risdate>2008</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>1424421535</isbn><isbn>9781424421534</isbn><eisbn>1424421543</eisbn><eisbn>9781424421541</eisbn><abstract>We propose the efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models (3DMMs). The conventional ICIA fitting method for 3DMMs requires a long computation time because the 3D face model contains a large number of vertices and it also requires to compute the Hessian matrix using the visible vertices every iteration. For the efficient fitting, we use the hierarchical fitting that use a set of multi-resolution 3D face model and the Gaussian image pyramid. For more accurate fitting, we use a two-stage parameter update that only update the rigid and the texture parameters and then update all parameters after the initial convergence. We present several experiment results to prove that our proposed method shows better performance than previous works.</abstract><pub>IEEE</pub><doi>10.1109/AFGR.2008.4813373</doi><tpages>6</tpages></addata></record> |
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subjects | Active appearance model Active shape model Computer science Convergence Face detection Face recognition Image resolution Jacobian matrices Shape control Stability |
title | An efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models |
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