Target design: a method for an accurate pose determination

New results related to a novel approach in computer vision are reported in this paper. Rather than designing ever more complex algorithms to extract given objects from images, the design of simple targets for given fast and robust algorithms is promoted. The mathematical nature of this approach leads to optimized target structures. A unifying model for vision algorithms is introduced which combines target primitive extraction and target structure matching. The usefulness of this approach is demonstrated by a practical example of a vision system. The system employs a line cluster as the target, with the Hough transform as the extraction algorithm. In order to get the best results, the performance of the vision system is evaluated. The evaluation is attempted on two bases, by a mathematical model and by experimental results. The mathematical model is capable of predicting the effects of various target parameters as well as the effects of various distortions of the vision system. Target design can lead to simpler, faster and more robust computer vision systems for use in industry