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dc.contributor.authorChia, TLen_US
dc.contributor.authorChen, Zen_US
dc.contributor.authorYueh, CJen_US
dc.date.accessioned2014-12-08T15:02:26Z-
dc.date.available2014-12-08T15:02:26Z-
dc.date.issued1996-08-01en_US
dc.identifier.issn1057-7149en_US
dc.identifier.urihttp://dx.doi.org/10.1109/83.506763en_US
dc.identifier.urihttp://hdl.handle.net/11536/1116-
dc.description.abstractIn the grid-coding technique, the accurate grid junction locations are vital to the surface computation. Noise arising from the imaging formation and processing processes will jeopardize the computation accuracy. The objective of this study is to make use of the geometric property of cross ratio to improve the accuracy of grid junction locations in grid-coded images., A method is devised to regenerate grid junctions from the original (i.e., raw) junction data of an image. Through a statistical error analysis, we show that the regenerated junction data are generally more accurate than the old ones in the image taken from a wide range of viewing angles.en_US
dc.language.isoen_USen_US
dc.titleA method for rectifying grid junctions in grid-coded images using cross ratioen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/83.506763en_US
dc.identifier.journalIEEE TRANSACTIONS ON IMAGE PROCESSINGen_US
dc.citation.volume5en_US
dc.citation.issue8en_US
dc.citation.spage1276en_US
dc.citation.epage1281en_US
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
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