The Visual Computer: International Journal of Computer Graphics
Comprehensible rendering of 3-D shapes
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
A survey of algorithms for volume visualization
ACM SIGGRAPH Computer Graphics
A rendering algorithm for visualizing 3D scalar fields
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Volume visualization in cell biology
VIS '90 Proceedings of the 1st conference on Visualization '90
Visualization of time-dependent flow fields
VIS '93 Proceedings of the 4th conference on Visualization '93
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To visualize the volume data acquired from computation or sampling, it is necessary to estimate normals at the points corresponding to object surfaces. Volume data does not holds the geometric information for the surface comprising points, so it is necessary to calculate normals using local information at each point. The existing normal estimation methods have some problems of estimating incorrect normals at discontinuous, aliased or noisy points. Yagel et al solved some of these problems using their context-sensitive method. However this method requires too much processing time and it loses some information on detailed parts of the object surfaces. This paper proposes the surface-characteristic-sensitive normal estimation method which applies different operators according to characteristics of each surface for the normal calculation. This method has the same advantages of the context-sensitive method, and also some other advantages such as the less processing time and the reduction of the information loss on detailed parts.