Paper Info
Title
Depth Estimation and View Synthesis for Immersive Media
Abstract
Light field images and multi-view images are a promising immersive media, which realizes naked-eye three-dimensional scenes or 6 Degree of Freedom (6DoF) Free Navigations. Since they require a huge number of pixels for a rich immersive media, an efficient data compression method is essential. Since the light field images are compatible to the multi-view images, we are investigating a decimated multi-view coding method using MPEG Depth Estimation Reference Software (DERS) and View Synthesis Reference Software (VSRS). In this paper, we analyze Homography projection in DERS and VSRS and propose their improvements. We also explain the depth estimation and view synthesis process in detail and report an experimental result with the improved software (pDERS8 and pVSRS4.3).
Year
DOI
Venue
2018
10.1109/IC3D.2018.8657842
2018 International Conference on 3D Immersion (IC3D)
Keywords
Field
DocType
Cameras,Estimation,Reliability,Smoothing methods,Light fields,Image coding,Two dimensional displays
Computer vision,Computer science,View synthesis,Light field,Coding (social sciences),Homography,Software,Pixel,Artificial intelligence,Data compression,Reference software
Conference
ISBN
Citations 
PageRank 
978-1-5386-7590-8
2
0.44
References 
Authors
0
3
Name
Order
Citations
PageRank
Takanori Senoh120.77
Nobuji Tetsutani234451.54
Hiroshi Yasuda322.13