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Mono camera multi-view diminished reality

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Diminished reality (DR) aims at removing objects auto-matically in live video streams, in a way which is unrecognizable to human observers. Approaches working on mobile devices utilize image inpainting algorithms to fill the holes (target region) of the removed objects in a plausible way. We propose a new DR algorithm, which extracts a scene model from a sparse point cloud of a mono SLAM algorithm. The scene model allows to inpaint complex scenes consisting of multiple planes intersecting at the target region. A plane-wise key frame estimation preserves scene structure as well as improving inpainting results. Furthermore, we introduce a viewing angle-based key frame update policy, ensuring high quality of the key frames. The multi-threaded design of the algorithm achieves nearly real-time performance on a mobile device.

Original languageEnglish
Title of host publication2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509006410
DOIs
StatePublished - 23 May 2016
EventIEEE Winter Conference on Applications of Computer Vision, WACV 2016 - Lake Placid, United States
Duration: 7 Mar 201610 Mar 2016

Publication series

Name2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016

Conference

ConferenceIEEE Winter Conference on Applications of Computer Vision, WACV 2016
Country/TerritoryUnited States
CityLake Placid
Period7/03/1610/03/16

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