bundle block adjustment with 3d natural cubic splines

a complicated problem. The development of the algorithm from point-based to linebasedphotogrammetry chooses the both advantages. Selecting suitable features iseasier than extracting straight linear features and the candidate feature can be usedin higher applications. Another reason for developing curve features is that curvefeatures will be the prior and fundamental features to the next higher features suchas surfaces, areas and 3D volumes which consist of free-form linear features. Linebasedphotogrammetry is more suitable to develop the robust and accurate techniquesfor automation. If linear features are employed as control features, they provide advantagesover point features for the automation of aerial triangulation. Point-basedphotogrammetry based on the manual measurement and identification of conjugatepoints is less reliable than line-based photogrammetry since it has the limitation of occlusion(visibility),ambiguity(repetitive patterns) and semantic information in view ofrobust and suitable automation. The manual identification of corresponding entitiesin two images is crucial in the automation of photogrammetric tasks. No knowledge ofthe point-to-point correspondence is required in line-based photogrammetry. In addition,point features do not carry the information about the scene but linear featurescontain the semantic information related to real object features.Thus additionalinformation about linear features can increase the redundancy of the system.2.2 Literature reviewRelated works begin with methods of the pose estimation of imagery using linearfeatures which appear in most man-made objects such as buildings, roads and parkinglots. Over the years, a number of researchers in photogrammetry and computervision have used the line feature instead of point feature for example Masry(1981)15