Elemental image array generation method by using optimized depth image-based rendering algorithm for integral imaging display

2018 ◽  
Vol 26 (7) ◽  
pp. 419-426
Author(s):  
Fei Xiao ◽  
Zhao-Long Xiong ◽  
Huan Deng ◽  
Yan Xing ◽  
Qiong-Hua Wang
Keyword(s):  
Depth Image ◽  
Integral Imaging ◽  
Image Based Rendering ◽  
Depth Image Based Rendering ◽  
Array Generation ◽  
Elemental Image

P-101: Method of Accelerated Elemental Image Array Generation for Integral Imaging Display

2017 ◽  
Vol 48 (1) ◽  
pp. 1627-1629
Author(s):  
Yan Xing ◽  
Zhao-Long Xiong ◽  
Huan Deng ◽  
Qiong-Hua Wang
Keyword(s):  
Integral Imaging ◽  
Array Generation ◽  
Elemental Image

A BACKGROUND MODELING-BASED FAITHFUL APPROACH TO THE DISOCCLUSION PROBLEM IN DEPTH IMAGE-BASED RENDERING

2013 ◽  
Vol 27 (02) ◽  
pp. 1354005 ◽  
Author(s):  
MICHAEL SCHMEING ◽  
XIAOYI JIANG
Keyword(s):  
Background Modeling ◽  
View Synthesis ◽  
Depth Image ◽  
Image Based Rendering ◽  
Texture Information ◽  
Depth Image Based Rendering ◽  
Compression Artifacts

In this paper, we address the disocclusion problem that occurs during view synthesis in depth image-based rendering (DIBR). We propose a method that can recover faithful texture information for disoccluded areas. In contrast to common disocclusion filling methods, which usually work frame-by-frame, our algorithm can take information from temporally neighboring frames into account. This way, we are able to reconstruct a faithful filling for the disocclusion regions and not just an approximate or plausible one. Our method avoids artifacts that occur with common approaches and can additionally reduce compression artifacts at object boundaries.

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