Geometric registration of images with arbitrarily-shaped local intensity variations from shadows
In this paper, we focus on the sub-pixel geometric registration of images with arbitrarily-shaped local intensity variations, particularly due to shadows. Intensity variations tend to degrade the performance of geometric registration, thereby degrading subsequent processing. To handle intensity vari...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 204 |
|---|---|
| container_issue | |
| container_start_page | 201 |
| container_title | |
| container_volume | |
| creator | Fouad, M.M. Dansereau, R.M. Whitehead, A.D. |
| description | In this paper, we focus on the sub-pixel geometric registration of images with arbitrarily-shaped local intensity variations, particularly due to shadows. Intensity variations tend to degrade the performance of geometric registration, thereby degrading subsequent processing. To handle intensity variations, we propose a model with illumination correction that can handle arbitrarily-shaped regions of local intensity variations. The approach is set in an iterative coarse-to-fine framework with steps to estimate the geometric registration with illumination correction and steps to refine the arbitrarily-shaped local intensity regions. The results show that this model outperforms linear scalar model by a factor of 6.8 in sub-pixel registration accuracy. |
| doi_str_mv | 10.1109/ICIP.2009.5414213 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5414213</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5414213</ieee_id><sourcerecordid>5414213</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-75610f00dd41fdef667fb4f35dc589b111d5bbb66c31024bee5941b3af217d803</originalsourceid><addsrcrecordid>eNpVkM1KAzEUheMfWGsfQNzkBabem7_JLKVoLRR0oeuaTJI2Mu2UJFj69g7ajatz4DvncjmE3CFMEaF5WMwWb1MG0EylQMGQn5FJU-vBCiGVlHBORoxrrLQUzcU_xtUlGaFkrBJawzW5yfkLgAFyHJHPue-3vqTY0uTXMZdkSux3tA80bs3aZ3qIZUNNsnFAKXbHKm_M3jva9a3paNwVv8uxHOn3QH-7mYbUb-kQc_0h35KrYLrsJycdk4_np_fZS7V8nS9mj8sqYi1LVUuFEACcExicD0rVwYrApWulbiwiOmmtVarlCExY72Uj0HITGNZOAx-T-7-70Xu_2qfh-3RcncbiPyXQW1E</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Geometric registration of images with arbitrarily-shaped local intensity variations from shadows</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Fouad, M.M. ; Dansereau, R.M. ; Whitehead, A.D.</creator><creatorcontrib>Fouad, M.M. ; Dansereau, R.M. ; Whitehead, A.D.</creatorcontrib><description>In this paper, we focus on the sub-pixel geometric registration of images with arbitrarily-shaped local intensity variations, particularly due to shadows. Intensity variations tend to degrade the performance of geometric registration, thereby degrading subsequent processing. To handle intensity variations, we propose a model with illumination correction that can handle arbitrarily-shaped regions of local intensity variations. The approach is set in an iterative coarse-to-fine framework with steps to estimate the geometric registration with illumination correction and steps to refine the arbitrarily-shaped local intensity regions. The results show that this model outperforms linear scalar model by a factor of 6.8 in sub-pixel registration accuracy.</description><identifier>ISSN: 1522-4880</identifier><identifier>ISBN: 9781424456536</identifier><identifier>ISBN: 1424456533</identifier><identifier>EISSN: 2381-8549</identifier><identifier>EISBN: 9781424456550</identifier><identifier>EISBN: 9781424456543</identifier><identifier>EISBN: 142445655X</identifier><identifier>EISBN: 1424456541</identifier><identifier>DOI: 10.1109/ICIP.2009.5414213</identifier><language>eng</language><publisher>IEEE</publisher><subject>Degradation ; Image generation ; Image registration ; Image segmentation ; Iterative methods ; Light sources ; Lighting ; local intensity correction ; panoramic image mosaics ; photometric correction ; Photometry ; Solid modeling ; Systems engineering and theory</subject><ispartof>2009 16th IEEE International Conference on Image Processing (ICIP), 2009, p.201-204</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/5414213$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5414213$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Fouad, M.M.</creatorcontrib><creatorcontrib>Dansereau, R.M.</creatorcontrib><creatorcontrib>Whitehead, A.D.</creatorcontrib><title>Geometric registration of images with arbitrarily-shaped local intensity variations from shadows</title><title>2009 16th IEEE International Conference on Image Processing (ICIP)</title><addtitle>ICIP</addtitle><description>In this paper, we focus on the sub-pixel geometric registration of images with arbitrarily-shaped local intensity variations, particularly due to shadows. Intensity variations tend to degrade the performance of geometric registration, thereby degrading subsequent processing. To handle intensity variations, we propose a model with illumination correction that can handle arbitrarily-shaped regions of local intensity variations. The approach is set in an iterative coarse-to-fine framework with steps to estimate the geometric registration with illumination correction and steps to refine the arbitrarily-shaped local intensity regions. The results show that this model outperforms linear scalar model by a factor of 6.8 in sub-pixel registration accuracy.</description><subject>Degradation</subject><subject>Image generation</subject><subject>Image registration</subject><subject>Image segmentation</subject><subject>Iterative methods</subject><subject>Light sources</subject><subject>Lighting</subject><subject>local intensity correction</subject><subject>panoramic image mosaics</subject><subject>photometric correction</subject><subject>Photometry</subject><subject>Solid modeling</subject><subject>Systems engineering and theory</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424456536</isbn><isbn>1424456533</isbn><isbn>9781424456550</isbn><isbn>9781424456543</isbn><isbn>142445655X</isbn><isbn>1424456541</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1KAzEUheMfWGsfQNzkBabem7_JLKVoLRR0oeuaTJI2Mu2UJFj69g7ajatz4DvncjmE3CFMEaF5WMwWb1MG0EylQMGQn5FJU-vBCiGVlHBORoxrrLQUzcU_xtUlGaFkrBJawzW5yfkLgAFyHJHPue-3vqTY0uTXMZdkSux3tA80bs3aZ3qIZUNNsnFAKXbHKm_M3jva9a3paNwVv8uxHOn3QH-7mYbUb-kQc_0h35KrYLrsJycdk4_np_fZS7V8nS9mj8sqYi1LVUuFEACcExicD0rVwYrApWulbiwiOmmtVarlCExY72Uj0HITGNZOAx-T-7-70Xu_2qfh-3RcncbiPyXQW1E</recordid><startdate>200911</startdate><enddate>200911</enddate><creator>Fouad, M.M.</creator><creator>Dansereau, R.M.</creator><creator>Whitehead, A.D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200911</creationdate><title>Geometric registration of images with arbitrarily-shaped local intensity variations from shadows</title><author>Fouad, M.M. ; Dansereau, R.M. ; Whitehead, A.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-75610f00dd41fdef667fb4f35dc589b111d5bbb66c31024bee5941b3af217d803</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Degradation</topic><topic>Image generation</topic><topic>Image registration</topic><topic>Image segmentation</topic><topic>Iterative methods</topic><topic>Light sources</topic><topic>Lighting</topic><topic>local intensity correction</topic><topic>panoramic image mosaics</topic><topic>photometric correction</topic><topic>Photometry</topic><topic>Solid modeling</topic><topic>Systems engineering and theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Fouad, M.M.</creatorcontrib><creatorcontrib>Dansereau, R.M.</creatorcontrib><creatorcontrib>Whitehead, A.D.</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>Fouad, M.M.</au><au>Dansereau, R.M.</au><au>Whitehead, A.D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Geometric registration of images with arbitrarily-shaped local intensity variations from shadows</atitle><btitle>2009 16th IEEE International Conference on Image Processing (ICIP)</btitle><stitle>ICIP</stitle><date>2009-11</date><risdate>2009</risdate><spage>201</spage><epage>204</epage><pages>201-204</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424456536</isbn><isbn>1424456533</isbn><eisbn>9781424456550</eisbn><eisbn>9781424456543</eisbn><eisbn>142445655X</eisbn><eisbn>1424456541</eisbn><abstract>In this paper, we focus on the sub-pixel geometric registration of images with arbitrarily-shaped local intensity variations, particularly due to shadows. Intensity variations tend to degrade the performance of geometric registration, thereby degrading subsequent processing. To handle intensity variations, we propose a model with illumination correction that can handle arbitrarily-shaped regions of local intensity variations. The approach is set in an iterative coarse-to-fine framework with steps to estimate the geometric registration with illumination correction and steps to refine the arbitrarily-shaped local intensity regions. The results show that this model outperforms linear scalar model by a factor of 6.8 in sub-pixel registration accuracy.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2009.5414213</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1522-4880 |
| ispartof | 2009 16th IEEE International Conference on Image Processing (ICIP), 2009, p.201-204 |
| issn | 1522-4880 2381-8549 |
| language | eng |
| recordid | cdi_ieee_primary_5414213 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Degradation Image generation Image registration Image segmentation Iterative methods Light sources Lighting local intensity correction panoramic image mosaics photometric correction Photometry Solid modeling Systems engineering and theory |
| title | Geometric registration of images with arbitrarily-shaped local intensity variations from shadows |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T08%3A31%3A10IST&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=Geometric%20registration%20of%20images%20with%20arbitrarily-shaped%20local%20intensity%20variations%20from%20shadows&rft.btitle=2009%2016th%20IEEE%20International%20Conference%20on%20Image%20Processing%20(ICIP)&rft.au=Fouad,%20M.M.&rft.date=2009-11&rft.spage=201&rft.epage=204&rft.pages=201-204&rft.issn=1522-4880&rft.eissn=2381-8549&rft.isbn=9781424456536&rft.isbn_list=1424456533&rft_id=info:doi/10.1109/ICIP.2009.5414213&rft_dat=%3Cieee_6IE%3E5414213%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424456550&rft.eisbn_list=9781424456543&rft.eisbn_list=142445655X&rft.eisbn_list=1424456541&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5414213&rfr_iscdi=true |