TY - JFULL AU - F. Rotaru and S. Bejinariu and C. D. Niţâ and R. Luca and I. Pâvâloi and C. Lazâr PY - 2009/11/ TI - Robot Vision Application based on Complex 3D Pose Computation T2 - International Journal of Mathematical and Computational Sciences SP - 836 EP - 840 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/324 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 34, 2009 N2 - The paper presents a technique suitable in robot vision applications where it is not possible to establish the object position from one view. Usually, one view pose calculation methods are based on the correspondence of image features established at a training step and exactly the same image features extracted at the execution step, for a different object pose. When such a correspondence is not feasible because of the lack of specific features a new method is proposed. In the first step the method computes from two views the 3D pose of feature points. Subsequently, using a registration algorithm, the set of 3D feature points extracted at the execution phase is aligned with the set of 3D feature points extracted at the training phase. The result is a Euclidean transform which have to be used by robot head for reorientation at execution step. ER -