Paper Info
Title
High quality rendering of attributed volume data
Abstract
Abstract For high quality rendering of objects segmented,from tomographic volume,data the precise location of the boundaries of adjacent ob- jects in subvoxel resolution is required. We describe a new,method that determines the membership,of a given sample point to an object by reclassifying the sample point using interpolation of the original intensity values and searching for the best fitting object in the neigh- bourhood. Using a ray-casting approach,we then compute,the sur- face location between,successive sample points along the viewing- ray by interpolation or bisection. The accurate calculation of the object boundary,enables a much,more precise computation,of the gray-level-gradient yielding the surface normal. Our new,approach significantly improves the quality of reconstructed and shaded sur- faces and reduces aliasing artifacts for animations and magnified views. We illustrate the results on different cases including the Visible-Human-Data, where we achieve nearly photo-realistic im- ages. CR Categories: I.3.3 [Computer Graphics]: Picture/Image
Year
DOI
Venue
1998
10.1145/288216.288275
IEEE Visualization 2003
Keywords
Field
DocType
computerised tomography,image segmentation,medical image processing,ray tracing,rendering (computer graphics),Visible-Human-Data,aliasing artifacts,animations,attributed volume data,gray-level-gradient,high quality rendering,magnified views,nearly photo-realistic images,object boundary,partial-volume-effect,ray-casting approach,subvoxel resolution,tomographic volume data
Computer vision,Ray tracing (graphics),Computer science,Interpolation,Image segmentation,Ray casting,Aliasing,Artificial intelligence,Visible human project,Rendering (computer graphics),Normal
Conference
ISBN
Citations 
PageRank 
1-58113-106-2
65
5.61
References 
Authors
10
3
Name
Order
Citations
PageRank
Ulf Tiede134089.02
Thomas Schiemann223244.40
Karl Heinz Höhne3562205.28