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

  • Choi, Hyunga; 
  • Jun, ChangHyun; 
  • Yuen, Shang Li; 
  • Cho, HyunGi; 
  • Doh, Nakju Lett
Citations

WEB OF SCIENCE

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SCOPUS

6

초록

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.

키워드

SLAM; SfM; Mapping; Photorealistic; 3 dimensional; Online mapping; SIMULTANEOUS LOCALIZATION
제목
Joint Solution for the Online 3D Photorealistic Mapping Using SfM and SLAM
저자
Choi, Hyunga; Jun, ChangHyun; Yuen, Shang Li; Cho, HyunGi; Doh, Nakju Lett
DOI
10.5772/52854
발행일
2013-01-04
유형
Article
저널명
International Journal of Advanced Robotic Systems
권
10