Data-Adapted Volume Rendering for Scattered Point Data

Junda ZHANG  Libing JIANG  Longxing KONG  Li WANG  Xiao'an TANG  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.5   pp.1148-1151
Publication Date: 2017/05/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8198
Type of Manuscript: LETTER
Category: Computer Graphics
Keyword: 
scattered point data,  volume rendering,  moving least squares approximation,  

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Summary: 
In this letter, we present a novel method for reconstructing continuous data field from scattered point data, which leads to a more characteristic visualization result by volume rendering. The gradient distribution of scattered point data is analyzed for local feature investigation via singular-value decomposition. A data-adaptive ellipsoidal shaped function is constructed as the penalty function to evaluate point weight coefficient in MLS approximation. The experimental results show that the proposed method can reduce the reconstruction error and get a visualization with better feature discrimination.