A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences
Traditionally, feature extraction and correspondence determination are handled separately in motion analysis of (range) image sequences. The correspondence determination methods have typically an exponential computational complexity. In the present paper we introduce a novel framework of motion anal...
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| creator | Jiang, X. Hofer, S. Stahs, T. Ahrns, I. Bunke, H. |
| description | Traditionally, feature extraction and correspondence determination are handled separately in motion analysis of (range) image sequences. The correspondence determination methods have typically an exponential computational complexity. In the present paper we introduce a novel framework of motion analysis that unifies feature extraction and correspondence determination in a single process. Under the basic assumption of a small relative motion between the camera and the scene, feature extraction is solved by refining the segmentation result of the previous frame. This way correspondence information becomes directly available as a by-product of the feature extraction process. Due to the coupled processing of frames we also enforce some degree of segmentation stability. First results on real range image sequences have demonstrated the potential of our approach. |
| doi_str_mv | 10.1007/3-540-45993-6_6 |
| format | Book Chapter |
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The correspondence determination methods have typically an exponential computational complexity. In the present paper we introduce a novel framework of motion analysis that unifies feature extraction and correspondence determination in a single process. Under the basic assumption of a small relative motion between the camera and the scene, feature extraction is solved by refining the segmentation result of the previous frame. This way correspondence information becomes directly available as a by-product of the feature extraction process. Due to the coupled processing of frames we also enforce some degree of segmentation stability. First results on real range image sequences have demonstrated the potential of our approach.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540433996</identifier><identifier>ISBN: 9783540433996</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540459936</identifier><identifier>EISBN: 9783540459934</identifier><identifier>DOI: 10.1007/3-540-45993-6_6</identifier><identifier>OCLC: 958521102</identifier><identifier>LCCallNum: TJ212-225</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Control theory. Systems ; Exact sciences and technology ; Feature Extraction ; Motion Analysis ; Pattern recognition. Digital image processing. Computational geometry ; Range Image ; Robotics ; Seed Region ; Segmentation Result</subject><ispartof>Lecture notes in computer science, 2002, Vol.2238, p.87-100</ispartof><rights>Springer-Verlag Berlin Heidelberg 2002</rights><rights>2002 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/3072678-l.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/3-540-45993-6_6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/3-540-45993-6_6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,775,776,780,785,786,789,4036,4037,27902,38232,41418,42487</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14052174$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Hager, Gregory D</contributor><contributor>Bunke, Horst</contributor><contributor>Klein, Rolf</contributor><contributor>Christensen, Henrik I</contributor><contributor>Klein, Rolf</contributor><contributor>Hager, Gregory D.</contributor><contributor>Christensen, Henrik Iskov</contributor><contributor>Bunke, Horst</contributor><creatorcontrib>Jiang, X.</creatorcontrib><creatorcontrib>Hofer, S.</creatorcontrib><creatorcontrib>Stahs, T.</creatorcontrib><creatorcontrib>Ahrns, I.</creatorcontrib><creatorcontrib>Bunke, H.</creatorcontrib><title>A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences</title><title>Lecture notes in computer science</title><description>Traditionally, feature extraction and correspondence determination are handled separately in motion analysis of (range) image sequences. The correspondence determination methods have typically an exponential computational complexity. In the present paper we introduce a novel framework of motion analysis that unifies feature extraction and correspondence determination in a single process. Under the basic assumption of a small relative motion between the camera and the scene, feature extraction is solved by refining the segmentation result of the previous frame. This way correspondence information becomes directly available as a by-product of the feature extraction process. Due to the coupled processing of frames we also enforce some degree of segmentation stability. First results on real range image sequences have demonstrated the potential of our approach.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Exact sciences and technology</subject><subject>Feature Extraction</subject><subject>Motion Analysis</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Range Image</subject><subject>Robotics</subject><subject>Seed Region</subject><subject>Segmentation Result</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540433996</isbn><isbn>9783540433996</isbn><isbn>3540459936</isbn><isbn>9783540459934</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2002</creationdate><recordtype>book_chapter</recordtype><recordid>eNotkE1PAyEQhvEz1urZKxePKB-7sBybpmqTRhNbz2SWztrVlq2wRv33Yu0cmAzvzAvzEHIl-I3g3NwqVhacFaW1immnD8i5yhe7Wh-SgdBCMKUKe7QXlLJWH5MBV1wyawp1Sga2rEopBJdn5DKlN55DSa2lHJDFiD7iF12gX4X24xNp00Xar5BOvvsIvm-7QCEs6SIX7214pV1D55-xAY-JtoE-Q3hFOt1APueYDUIWLshJA-uEl_s8JC93k8X4gc2e7qfj0Yxt8-s9MyjrqpLaam8rWVSNQa6X0mgwChujS14g1AC1ryzUimtEYUpujSy1ESDUkFz_-24heVg3EYJvk9vGdgPxx4mC57UzgiFh_30pS_m_0dVd956c4O6PsVMuk3M7pi4zzv1y7xu7vFLqHf4NeAyZydqvYNtjTE5xI7WpnBDOFuoXvdB34Q</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Jiang, X.</creator><creator>Hofer, S.</creator><creator>Stahs, T.</creator><creator>Ahrns, I.</creator><creator>Bunke, H.</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2002</creationdate><title>A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences</title><author>Jiang, X. ; Hofer, S. ; Stahs, T. ; Ahrns, I. ; Bunke, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p266t-7e2b882696c98248f7e06d276a73ef76504eabaabc89ab306ee17509725671a13</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Control theory. Systems</topic><topic>Exact sciences and technology</topic><topic>Feature Extraction</topic><topic>Motion Analysis</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Range Image</topic><topic>Robotics</topic><topic>Seed Region</topic><topic>Segmentation Result</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, X.</creatorcontrib><creatorcontrib>Hofer, S.</creatorcontrib><creatorcontrib>Stahs, T.</creatorcontrib><creatorcontrib>Ahrns, I.</creatorcontrib><creatorcontrib>Bunke, H.</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, X.</au><au>Hofer, S.</au><au>Stahs, T.</au><au>Ahrns, I.</au><au>Bunke, H.</au><au>Hager, Gregory D</au><au>Bunke, Horst</au><au>Klein, Rolf</au><au>Christensen, Henrik I</au><au>Klein, Rolf</au><au>Hager, Gregory D.</au><au>Christensen, Henrik Iskov</au><au>Bunke, Horst</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2002</date><risdate>2002</risdate><volume>2238</volume><spage>87</spage><epage>100</epage><pages>87-100</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540433996</isbn><isbn>9783540433996</isbn><eisbn>3540459936</eisbn><eisbn>9783540459934</eisbn><abstract>Traditionally, feature extraction and correspondence determination are handled separately in motion analysis of (range) image sequences. The correspondence determination methods have typically an exponential computational complexity. In the present paper we introduce a novel framework of motion analysis that unifies feature extraction and correspondence determination in a single process. Under the basic assumption of a small relative motion between the camera and the scene, feature extraction is solved by refining the segmentation result of the previous frame. This way correspondence information becomes directly available as a by-product of the feature extraction process. Due to the coupled processing of frames we also enforce some degree of segmentation stability. First results on real range image sequences have demonstrated the potential of our approach.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/3-540-45993-6_6</doi><oclcid>958521102</oclcid><tpages>14</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2002, Vol.2238, p.87-100 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_14052174 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Control theory. Systems Exact sciences and technology Feature Extraction Motion Analysis Pattern recognition. Digital image processing. Computational geometry Range Image Robotics Seed Region Segmentation Result |
| title | A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences |
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