Learning procedure for the recognition of 3-D objects from 2-D images

Mischa Bart; Johannes Buurman; Robert P. W. Duin

doi:10.1117/12.25135

1 February 1991 Learning procedure for the recognition of 3-D objects from 2-D images

Mischa Bart, Johannes Buurman, Robert P. W. Duin

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25135
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

A learning procedure is described for the recognition of 3d industrial objects from 2d images. It is assumed that the objects are solid and have well defmed edges and that viewpoint and lightning are well defined but that there is no information available on the orientation distribution of future objects to be classified. The presented learning procedure covers all orientations by an initial sampling detects gaps and deletes superfluous orientations. An example is presented.

Citation Download Citation

Mischa Bart, Johannes Buurman, and Robert P. W. Duin "Learning procedure for the recognition of 3-D objects from 2-D images", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25135

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