A multi-step alignment scheme for face recognition in range images
Face recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will b...
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| creator | Stormer, A. Rigoll, G. |
| description | Face recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will be introduced to create aligned and normalized patches. These patches will then be used in a recognition algorithm, a discrete Pseudo 2-Dimensional Hidden Markov Model approach based on vector quantized DCTmod2 features. The results of this processing chain are discussed and compared to previous works. |
| doi_str_mv | 10.1109/ICIP.2008.4712363 |
| format | Conference Proceeding |
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To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will be introduced to create aligned and normalized patches. These patches will then be used in a recognition algorithm, a discrete Pseudo 2-Dimensional Hidden Markov Model approach based on vector quantized DCTmod2 features. The results of this processing chain are discussed and compared to previous works.</description><subject>Covariance matrix</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Face detection</subject><subject>Face recognition</subject><subject>Facial features</subject><subject>Hidden Markov models</subject><subject>Image databases</subject><subject>Iterative algorithms</subject><subject>Iterative closest point algorithm</subject><subject>Low pass filters</subject><subject>Statistic modeling</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424417650</isbn><isbn>1424417651</isbn><isbn>9781424417643</isbn><isbn>1424417643</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtKxDAYheMNrOM8gLjJC6Tmz6VJlmMZtTCgC10PafunRnoZmrrw7R1wNq7OgQ_OB4eQO-A5AHcPVVm95YJzmysDQhbyjKydsaCEUmAKJc9JJqQFZrVyF_-Y5pckAy0EU9bya3KT0hfngoOEjDxu6PDdL5GlBQ_U97EbBxwXmppPHJCGaabBN0hnbKZujEucRhpHOvuxQxoH32G6JVfB9wnXp1yRj6fte_nCdq_PVbnZsQhGL8xwLWyQrRaO84DSeS091o2pvQi1Vtq3LQYVQIMVx6Jr1RZCNoBgXNEUckXu_3YjIu4P89E-_-xPd8hfkIFOyQ</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Stormer, A.</creator><creator>Rigoll, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200810</creationdate><title>A multi-step alignment scheme for face recognition in range images</title><author>Stormer, A. ; Rigoll, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-70528f3d52900fe39a53aebc7ba2fb545addef4f15182ef45b4d623c1e1796c63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Covariance matrix</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Face detection</topic><topic>Face recognition</topic><topic>Facial features</topic><topic>Hidden Markov models</topic><topic>Image databases</topic><topic>Iterative algorithms</topic><topic>Iterative closest point algorithm</topic><topic>Low pass filters</topic><topic>Statistic modeling</topic><toplevel>online_resources</toplevel><creatorcontrib>Stormer, A.</creatorcontrib><creatorcontrib>Rigoll, G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stormer, A.</au><au>Rigoll, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A multi-step alignment scheme for face recognition in range images</atitle><btitle>2008 15th IEEE International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2008-10</date><risdate>2008</risdate><spage>2748</spage><epage>2751</epage><pages>2748-2751</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424417650</isbn><isbn>1424417651</isbn><eisbn>9781424417643</eisbn><eisbn>1424417643</eisbn><abstract>Face recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will be introduced to create aligned and normalized patches. These patches will then be used in a recognition algorithm, a discrete Pseudo 2-Dimensional Hidden Markov Model approach based on vector quantized DCTmod2 features. The results of this processing chain are discussed and compared to previous works.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2008.4712363</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2008 15th IEEE International Conference on Image Processing, 2008, p.2748-2751 |
| issn | 1522-4880 2381-8549 |
| language | eng |
| recordid | cdi_ieee_primary_4712363 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Covariance matrix Eigenvalues and eigenfunctions Face detection Face recognition Facial features Hidden Markov models Image databases Iterative algorithms Iterative closest point algorithm Low pass filters Statistic modeling |
| title | A multi-step alignment scheme for face recognition in range images |
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