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Joint Solution for the Online 3D Photorealistic Mapping Using SfM and SLAM

Authors
Choi, HyungaJun, ChangHyunYuen, Shang LiCho, HyunGiDoh, Nakju Lett
Issue Date
4-1월-2013
Publisher
SAGE PUBLICATIONS INC
Keywords
SLAM; SfM; Mapping; Photorealistic; 3 dimensional; Online mapping
Citation
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, v.10
Indexed
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
Volume
10
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/104224
DOI
10.5772/52854
ISSN
1729-8814
Abstract
This paper proposes a novel hybrid solution of SfM (Structure from Motion) and SLAM (Simultaneous Localization And Mapping) for the online generation of a 3D photorealistic map. As it is well known, the SfM can generate a 3D photo map, but it is difficult to get the real-scale as well as to build an online map (i.e., the map cannot be generated on the fly). In contrast, while SLAM frameworks are suitable for online real-scale mapping, they are not adequate for 3D photo map generation. To create a synergy effect, the proposed method combines SfM and SLAM. The way of combination is to use SfM for the generation of local maps and to utilize SLAM for a fusion of local maps in a globally consistent manner. Experimental results show that the proposed hybrid approach enables online 3D photorealistic mapping.
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