CoverageDetecting Algorithm Based on Sub-Pixel GeometricPrimitives

Authors

Li Hua, 1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun130022, China;;2. National Local combined Engineering Research Center of Special Film Technology and Equipment, Changchun130000, China;
Huamin Yang, 1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun130022, China;;2. National Local combined Engineering Research Center of Special Film Technology and Equipment, Changchun130000, China;
Han Cheng, 1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun130022, China;;2. National Local combined Engineering Research Center of Special Film Technology and Equipment, Changchun130000, China;
Jianping Zhao, 1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun130022, China;;2. National Local combined Engineering Research Center of Special Film Technology and Equipment, Changchun130000, China;

Abstract

Abstract: A hard shadow anti-aliasing rendering algorithm with sub-pixel accuracywas proposed. The method focused on addressing aliasing artifacts of the shadow map due to the sample density mismatching between light space and camera space. The method extracted geometric primitives from the scene's front view from a light source and storedscene visible triangles with fixed-size and local approximation using conservative rasterization; An algorithm was proposed to detect the covered plurality primitives in one texel based on the texel's vertices, and reconstruct testing depth of shadow ray precisely. The experiment results showed that covered primitives' detection algorithm was able toidentify more than 90% triangles implicated in one texel. This method reduced jagged shadows effectively compared with standard shadow mapping.

Recommended Citation

Hua, Li; Yang, Huamin; Cheng, Han; and Zhao, Jianping (2020) "CoverageDetecting Algorithm Based on Sub-Pixel GeometricPrimitives," Journal of System Simulation: Vol. 29: Iss. 11, Article 18.
DOI: 10.16182/j.issn1004731x.joss.201711018
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/18

First Page

2723

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201711018

Last Page

2731

CLC

TP391.1

Recommended Citation

Li Hua, Yang Huamin, Han Cheng, Zhao Jianping. CoverageDetecting Algorithm Based on Sub-Pixel GeometricPrimitives[J]. Journal of System Simulation, 2017, 29(11): 2723-2731.

Corresponding Author

Huamin Yang,

DOI

10.16182/j.issn1004731x.joss.201711018