Authors:
Jeffrey Forrester
1
;
William McVicker
1
;
Timmy Gambin
2
;
Christopher Clark
3
and
Zoë J. Wood
1
Affiliations:
1
California Polytechnic State University, United States
;
2
University of Malta, Malta
;
3
Harvey Mudd College, United States
Keyword(s):
Surface Reconstruction, Geometric Modeling, Hole Filling, Uncertainty Visualization.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Spatial Data Visualization
;
Uncertainty Visualization
;
Virtual Environments and Data Visualization
Abstract:
Geometric data acquired via a scanning process can suffer from holes due to errors in the acquisition process, noise, or challenges in merging multiple inputs together into a unified map. We present a straight forward algorithm to fill holes in incomplete evidence grids representing acquired geometric data. We also present our methods to apply learning in order to statistically evaluate the proposed hole filling algorithm. This analysis validates our proposed method for hole filling and additionally enables the construction of a probability distribution function to represent the accuracy of the filled data per model. During surface reconstruction, this function can be used to visualize the certainty of the filled geometry via transparency and coloring giving the user an understanding of the data’s accuracy. This work is motivated by a multi-year project to construct educational visualizations of ancient water storage systems, i.e. cisterns and wells within churches, fortresses and ho
mes on the islands of Malta, Gozo and Sicily.
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