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Joint Solution for the Online 3D Photorealistic Mapping Using SfM and SLAM
Author(s) -
Hyunga Choi,
Changhyun Jun,
Shang Li Yuen,
HyunGi Cho,
Nakju Lett Doh
Publication year - 2013
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/52854
Subject(s) - simultaneous localization and mapping , computer science , computer vision , artificial intelligence , scale (ratio) , joint (building) , structure from motion , computer graphics (images) , motion (physics) , robot , mobile robot , cartography , geography , architectural engineering , engineering
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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