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An Occlusion Probability Model for Improving the Rendering Quality of Views

Abstract: 

Occlusion as a common phenomenon in object surface can seriously affect information collection of light field. To visualize light field data-set, occlusions are usually idealized and neglected for most prior light field rendering (LFR) algorithms. However, the 3D spatial structure of some features may be missing to capture some incorrect samples caused by occlusion discontinuities. To solve this problem, we propose an occlusion probability (OCP) model to improve the capturing information and the rendering quality of views with occlusion for the LFR. In this OCP model, a probability density model is applied to obtain the scores of visibility are modeled as hidden variables. The occlusion probability is calculated by the visibility, position and orientation of camera. We compare different capturing/reconstruction techniques to visualize/manipulate our OCP model.

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Paper Details

Authors:
Submitted On:
20 September 2019 - 5:41am
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Type:
Poster
Event:
Paper Code:
17
Document Year:
2019
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Document Files

occlusion_MMSP2019.pdf

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[1] , "An Occlusion Probability Model for Improving the Rendering Quality of Views", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4772. Accessed: Oct. 20, 2019.
@article{4772-19,
url = {http://sigport.org/4772},
author = { },
publisher = {IEEE SigPort},
title = {An Occlusion Probability Model for Improving the Rendering Quality of Views},
year = {2019} }
TY - EJOUR
T1 - An Occlusion Probability Model for Improving the Rendering Quality of Views
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4772
ER -
. (2019). An Occlusion Probability Model for Improving the Rendering Quality of Views. IEEE SigPort. http://sigport.org/4772
, 2019. An Occlusion Probability Model for Improving the Rendering Quality of Views. Available at: http://sigport.org/4772.
. (2019). "An Occlusion Probability Model for Improving the Rendering Quality of Views." Web.
1. . An Occlusion Probability Model for Improving the Rendering Quality of Views [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4772