Title
Robust Visibility Surface Determination In Object Space Via Plucker Coordinates
Abstract
Industrial 3D models are usually characterized by a large number of hidden faces and it is very important to simplify them. Visible-surface determination methods provide one of the most common solutions to the visibility problem. This study presents a robust technique to address the global visibility problem in object space that guarantees theoretical convergence to the optimal result. More specifically, we propose a strategy that, in a finite number of steps, determines if each face of the mesh is globally visible or not. The proposed method is based on the use of Plucker coordinates that allows it to provide an efficient way to determine the intersection between a ray and a triangle. This algorithm does not require pre-calculations such as estimating the normal at each face: this implies the resilience to normals orientation. We compared the performance of the proposed algorithm against a state-of-the-art technique. Results showed that our approach is more robust in terms of convergence to the maximum lossless compression.
Year
DOI
Venue
2021
10.3390/jimaging7060096
JOURNAL OF IMAGING
Keywords
DocType
Volume
visible-surface determination, ambient occlusion, Plucker coordinates, computer graphics
Journal
7
Issue
Citations 
PageRank 
6
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Alessandro Rossi101.69
Marco Barbiero200.34
Paolo Scremin300.34
Ruggero Carli489469.17