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

Author:

SCHMEING MICHAEL1,JIANG XIAOYI1

Affiliation:

1. University of Münster, Department of Computer Science, Einsteinstraße 62, 48149 Münster, Germany

Abstract

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nonlocal mean method based on soft weighting for filling holes in the depth image based rendering system;Twelfth International Conference on Graphics and Image Processing (ICGIP 2020);2021-01-27

2. An enhanced non local mean method for hole filling in the depth image-based rendering system;Eleventh International Conference on Digital Image Processing (ICDIP 2019);2019-08-14

3. Faithful Disocclusion Filling in Depth Image Based Rendering Using Superpixel-Based Inpainting;IEEE Transactions on Multimedia;2015-12

4. Edge-aware depth image filtering using color segmentation;Pattern Recognition Letters;2014-12

5. Superpixel-Based Disocclusion Filling in Depth Image Based Rendering;2014 22nd International Conference on Pattern Recognition;2014-08

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