Volumetric shape description of range data using “Blobby Model”
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Two-dimensional imaging
Computer graphics (2nd ed. in C): principles and practice
Computer graphics (2nd ed. in C): principles and practice
A Generalization of Algebraic Surface Drawing
ACM Transactions on Graphics (TOG)
3d Computer Graphics
Introduction to Implicit Surfaces
Introduction to Implicit Surfaces
Multiscale Volume Representation by a DoG Wavelet
IEEE Transactions on Visualization and Computer Graphics
An Extended Data-Flow Architecture for Data Analysis and Visualization
VIS '95 Proceedings of the 6th conference on Visualization '95
Implicit surface visualization of reconstructed biological molecules
Theoretical Computer Science - In memoriam: Alberto Del Lungo (1965-2003)
Generating distance maps with neighbourhood sequences
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
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Algebraic reconstruction techniques for the reconstruction of distributions from projections have yielded improvements in diverse fields such as medical imaging and electron microscopy. An important property of these methods is that they allow the use of various basis functions. Recently spherically symmetric functions (blobs) have been introduced as efficacious basis functions for reconstruction. However, basis functions whose parameters were found to be appropriate for use in reconstruction are not necessarily good for visualization. We propose a method of selecting blob parameters for both reconstruction and visualization.