Automatic Objects Removal for Scene CompletionIEEE INFOCOM Workshop on Security and Privacy in Big Data
Document TypeConference Paper
AbstractWith the explosive growth of Web-based cameras and mobile devices, billions of photographs are uploaded to the Internet. We can trivially collect a huge number of photo streams for various goals, such as 3D scene reconstruction and other big data applications. However, this is not an easy task due to the fact the retrieved photos are neither aligned nor calibrated. Furthermore, with the occlusion of unexpected foreground objects like people, vehicles, it is even more challenging to find feature correspondences and reconstruct realistic scenes. In this paper, we propose a structure-based image completion algorithm for object removal that produces visually plausible content with consistent structure and scene texture. We use an edge matching technique to infer the potential structure of the unknown region. Driven by the estimated structure, texture synthesis is performed automatically along the estimated curves. We evaluate the proposed method on different types of images: from highly structured indoor environment to the natural scenes. Our experimental results demonstrate satisfactory performance that can be potentially used for subsequent big data processing: 3D scene reconstruction and location recognition.
Document VersionPublished Version
CopyrightU.S. Government work not protected by U.S. copyright
Place of PublicationToronto, Canada
Citation InformationJianjun Yang, Yin Wang, Honggang Wang, Kun Hua, et al.. "Automatic Objects Removal for Scene Completion" IEEE INFOCOM Workshop on Security and Privacy in Big Data (2014)
Available at: http://works.bepress.com/ju_shen/21/