DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, MS | ko |
dc.contributor.author | Heo, JS | ko |
dc.contributor.author | Lee, Jungju | ko |
dc.date.accessioned | 2013-03-07T02:12:09Z | - |
dc.date.available | 2013-03-07T02:12:09Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, v.3614, pp.344 - 351 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10203/89187 | - |
dc.description.abstract | In this paper, we present a new real-time visual servoing unit for laparoscopic surgery. This unit can automatically control a laparoscope manipulator through visual tracking of the laparoscopic surgical tool. For the tracking, we present a two-stage adaptive CONDENSATION (conditional density propagation) algorithm to detect the accurate position of the surgical tool tip from a surgical image sequence in real-time. This algorithm can be adaptable to abrupt changes of illumination. The experimental results show that the proposed visual tracking algorithm is highly robust. | - |
dc.language | English | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Visual tracking algorithm for laparoscopic robot surgery | - |
dc.type | Article | - |
dc.identifier.wosid | 000232218400043 | - |
dc.identifier.scopusid | 2-s2.0-26944486631 | - |
dc.type.rims | ART | - |
dc.citation.volume | 3614 | - |
dc.citation.beginningpage | 344 | - |
dc.citation.endingpage | 351 | - |
dc.citation.publicationname | FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | - |
dc.contributor.localauthor | Lee, Jungju | - |
dc.contributor.nonIdAuthor | Kim, MS | - |
dc.contributor.nonIdAuthor | Heo, JS | - |
dc.type.journalArticle | Article; Proceedings Paper | - |
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