Paper Info
Title
An Occlusion Model For Improving Rendering Quality Of View
Abstract
Scene surface exists some occlusions by mutual occlusions or self-occlusions, and then this phenomenon will serious influences 3D vision technique. We present a signal-processing framework to study occlusions of scene. Our method combines discontinuities and establish a mathematical model of occlusion phenomenon. The influences of occlusion on a scene are derived using Fourier theory. In this manner, spectral support of scene occlusion is analyzed in frequency field. Predictions on the frequency content can then be used to control the sampling and rendering in a scene. This extends previous work that the sampling and rendering to be analyzed and estimated for 3D technique. Extensive experimental evaluation demonstrates that our occlusion analysis method significantly outperform competing algorithms.
Year
Venue
Keywords
2017
2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Spectrum analysis, image-based rendering, occlusion, sampling, view rendering
Field
DocType
ISSN
Computer vision,Classification of discontinuities,Occlusion,Pattern recognition,Computer science,Bandwidth (signal processing),Artificial intelligence,Sampling (statistics),Fourier theory,Rendering (computer graphics),3d vision
Conference
1522-4880
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Changjian Zhu143.15
Hong Zhang227626.98
Li Yu328348.76