Volume XXXIX-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 443-446, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-443-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 443-446, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-443-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  01 Aug 2012

01 Aug 2012

QUALITY ANALYSIS OF VEHICLE-BASED SEQUENCE IMAGES RELATIVE ORIENTATION BASED ON COMPUTER VISION

L. Yan1 and Z. Xu2,1 L. Yan and Z. Xu
  • 1School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
  • 2School of Geomatics, Liaoning Technical University, 47 Zhonghua Road, Fuxin 123000, China

Keywords: Relative Orientation, Direct Geo-referencing, Computer vision, Sequence images, Mobile mapping, SIFT, RANSAC

Abstract. Analyzed the quality and its influence factors of relative orientation of vehicle-based sequence images by comparing with the result obtained from Position & Orientation System using Direct Geo-referencing. Studies have shown that, under normal circumstances, the image Relative Orientation based on Computer vision is more robust, and under special conditions, it is more practical for analyzing and increasing the quality of vision measurement. Besides these, the method can be borrowed by many surveying and mapping related fields, taking indoor robot mobile environment awareness and unmanned automobile for instance.