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dc.contributor.authorCheng, Chang-Chiehen_US
dc.contributor.authorChing, Yu-Taien_US
dc.date.accessioned2019-04-03T06:47:42Z-
dc.date.available2019-04-03T06:47:42Z-
dc.date.issued2008-01-01en_US
dc.identifier.isbn978-0-8194-7102-4en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://dx.doi.org/10.1117/12.768949en_US
dc.identifier.urihttp://hdl.handle.net/11536/136341-
dc.description.abstractVolume rendering is a technique for volume visualization. Given a set of N x N x N volume data, the traditional volume rendering methods generally need O(N-3) rendering time. The FVR (Fourier Volume Rendering), that takes advantage of the Fourier slice theorem, takes O(N-2 log N) rendering time once the Fourier Transform of the volume data is available. Thus the FVR is favor to designing a real-time rendering algorithm with a preprocessing step. But the FVR has a disadvantage that resampling in the frequency domain causes artifacts in the spatial domain. Another problem is that the method for designing a transfer function is not obvious. In this paper, we report that by using the spatial domain zero-padding and tri-linear filtering can reduce the artifacts to an acceptable rendered image quality in spatial domain. To design the transfer function, we present a method that the user can define a transfer function by using a Bezier curve first. Based on the linear combination property of the Fourier transform and Bezier curve equation, the volume rendered result can be obtained by adding the weighted frequency domain signals. That mean, once a transfer function is given, we don't have to recompute the Fourier transform of the volume data after the transfer function applied. This technique makes real-time adjustment of transfer function possible.en_US
dc.language.isoen_USen_US
dc.subjectFourier volume renderingen_US
dc.subjecttransfer function designen_US
dc.subjectclassificationen_US
dc.subjectBezier curveen_US
dc.subjectGraphics Process Uniten_US
dc.titleTransfer function design for Fourier volume rendering and implementation using GPUen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1117/12.768949en_US
dc.identifier.journalMEDICAL IMAGING 2008: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND MODELING, PTS 1 AND 2en_US
dc.citation.volume6918en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000256059000005en_US
dc.citation.woscount1en_US
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