Identifying and filling occlusion holes on planar surfaces for 3-D scene editing

Chia Wei Wang, Tzu Chieh Yang, Sheng Ho Chiang, Tsai-Pei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

While it is very convenient to acquire 3-D models of indoor environments today, to edit such an environment is not as easy, as the moving of any object will likely result in exposed occlusion holes. This paper presents a method of automatically identifying and filling such occlusion holes on planar surfaces in 3-D scenes. Steps of hole extraction, classification, and filling using a 2-D image inpainting technique are discussed.

Original languageEnglish
Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages251-254
Number of pages4
ISBN (Electronic)9781538615423
DOIs
StatePublished - 5 Feb 2018
Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201715 Dec 2017

Publication series

NameProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Volume2018-February

Conference

Conference9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
CountryMalaysia
CityKuala Lumpur
Period12/12/1715/12/17

Cite this

Wang, C. W., Yang, T. C., Chiang, S. H., & Wang, T-P. (2018). Identifying and filling occlusion holes on planar surfaces for 3-D scene editing. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 (pp. 251-254). (Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017; Vol. 2018-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2017.8282053