@article{(Open Science Index):https://publications.waset.org/pdf/324,
	  title     = {Robot Vision Application based on Complex 3D Pose Computation},
	  author    = {F. Rotaru and  S. Bejinariu and  C. D. Niţâ and  R. Luca and  I. Pâvâloi and  C. Lazâr},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {3},
	  number    = {10},
	  year      = {2009},
	  pages     = {837 - 840},
	  ee        = {https://publications.waset.org/pdf/324},
	  url   	= {https://publications.waset.org/vol/34},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 34, 2009},
	}