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Data-Adapted Volume Rendering for Scattered Point Data
Junda ZHANG Libing JIANG Longxing KONG Li WANG Xiao'an TANG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2017/05/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Computer Graphics
scattered point data, volume rendering, moving least squares approximation,
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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.