https://scholars.lib.ntu.edu.tw/handle/123456789/342809
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | REN-CHYUAN LUO | en_US |
dc.contributor.author | W. S. Yang | en_US |
dc.contributor.author | Y. H. Kim | en_US |
dc.creator | R. C. Luo;W. S. Yang;Y. H. Kim | - |
dc.date.accessioned | 2018-09-10T07:09:01Z | - |
dc.date.available | 2018-09-10T07:09:01Z | - |
dc.date.issued | 1988-01 | - |
dc.identifier.uri | http://scholars.lib.ntu.edu.tw/handle/123456789/342809 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069175934&doi=10.1109%2fIECON.1988.660418&partnerID=40&md5=18c520001e60c1e296812144896d1c31 | - |
dc.description.abstract | The objective of this paper is to develop an innovative 3-D objects recognition algorithm which solves correspondence problem and reduces computational cost for recognition. Correspondency between features of unknown object and its model and complicated computation for recognition seem to be a bottleneck of current 3-D object recognition. Three-dimensional generalized Hough transformation is introduced which can be applied to general 3-D objects, and reduces both the computation time and data base memory requirements. Data base is constructed in off-line fashion based on the view-point independent characteristics from the known 3-D objects using generalized 3-D Hough transformation. In the recognition process, view-. point independent characteristics from unknown objects are obtained and used as a key for searching the data base for the best candidate. To test the algorithm, various types of objects are investigated by use of 3-D range data. © 1988 IEEE. | - |
dc.language | en | en |
dc.relation.ispartof | IEEE International Conference on Industrial Electronics | en_US |
dc.source | AH-anncc | - |
dc.subject | Accumulator array; Binary search tree; Data base; Gaussian curvature; Hough transformation; Mean curvature; Normal; Recognition; Reference point; Three dimension | - |
dc.subject.other | Agricultural robots; Binary trees; Computer vision; Industrial electronics; Object recognition; Robotics; Trees (mathematics); Accumulator array; Binary search trees; Gaussian curvatures; Hough Transformation; Mean curvature; Normal; Recognition; Reference points; Three dimensions; Metadata | - |
dc.title | Recognition of 3-D Object Using Modified 3-D General Hough Transformation | - |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/IECON.1988.660418 | - |
dc.relation.pages | 64-69 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.openairetype | conference paper | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | International Center of Excellence on Intelligent Robotics and Automation Research (NTU-iCeiRA) | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: International Research Centers | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 電機工程學系 |
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