ベクターデータの直線形状を利用した 制約条件付きバンドル調整に関する研究

抄録

Recently, various kinds of vector data have been widely used. Images as raster data also became popular, and then applications using the vector data and images simultaneously attract more interests. Such applications require registration of those data in a same coordinates system. This paper proposes a new orientation method combining the vector data with the images based on bundle adjustment. Since the vector data can be regarded as constraint condition, the bundle adjustment is extended to constrained non-linear optimization method. The constraint conditions are coincidence between lines extracted from images and the corresponding ones of vector data, and the proposed method is formulated as Lagrange's method of undetermined multipliers. Experiments with both synthetic and real data show that the proposed method is more accurate to errors caused by low accuracy of coordinates of feature points or GPS values than a method without constraint condition.