Diminished Reality Based on Image Inpainting Considering Background Geometry

IEEE Transactions on Visualization and Computer Graphics
Norihiko KawaiNaokazu Yokoya

Abstract

Diminished reality aims to remove real objects from video images and fill in the missing regions with plausible background textures in real time. Most conventional methods based on image inpainting achieve diminished reality by assuming that the background around a target object is almost planar. This paper proposes a new diminished reality method that considers background geometries with less constraints than the conventional ones. In this study, we approximate the background geometry by combining local planes, and improve the quality of image inpainting by correcting the perspective distortion of texture and limiting the search area for finding similar textures as exemplars. The temporal coherence of texture is preserved using the geometries and camera pose estimated by visual-simultaneous localization and mapping (SLAM). The mask region that includes a target object is robustly set in each frame by projecting a 3D region, rather than tracking the object in 2D image space. The effectiveness of the proposed method is successfully demonstrated using several experimental environments.

References

Jan 17, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yonatan WexlerMichal Irani

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Citations

May 14, 2017·IEEE Transactions on Visualization and Computer Graphics·Qiang GuoCaiming Zhang
Aug 16, 2017·IEEE Transactions on Visualization and Computer Graphics·Thomas SchopsMarc Pollefeys

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