Issue No. 12 - Dec. (2012 vol. 34)
Maxime Lhuillier , Inst. Pascal (ex. Lasmea), IFMA, Aubiwe, France
Two problems occur when bundle adjustment (BA) is applied on long image sequences: large calculation time and drift (or error accumulation). In recent work, the calculation time is reduced by local BAs applied in an incremental scheme. The drift may be reduced by fusion of GPS and Structure-from-Motion. An existing fusion method is BA minimizing a weighted sum of image and GPS errors. This paper introduces two constrained BAs for fusion which enforce an upper bound for the reprojection error. These BAs are alternatives to the existing fusion BA which does not guarantee a small reprojection error and requires a weight as input. Then, the three fusion BAs are integrated in an incremental Structure-from-Motion method based on local BA. Last, we will compare the fusion results on long monocular image sequences and low cost GPS.
image sequences, Global Positioning System, image fusion, image motion analysis, monocular image sequences, incremental fusion, structure-from-motion, GPS, constrained bundle adjustments, BA, reprojection error, Global Positioning System, Motion estimation, Cameras, Taylor series, Approximation methods, Linear systems, low cost GPS, Local bundle adjustment, structure-from-motion, fusion
M. Lhuillier, "Incremental Fusion of Structure-from-Motion and GPS Using Constrained Bundle Adjustments," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 34, no. , pp. 2489-2495, 2012.