Detection of 3D objects in cluttered scenes using hierarchical eigenspace

  title={Detection of 3D objects in cluttered scenes using hierarchical eigenspace},
  author={Hiroshi Murase and Shree K. Nayar},
  journal={Pattern Recognition Letters},
This paper proposes a novel method to detect three-dimensional objects in arbitrary poses and sizes from a complex image and to simultaneously measure their poses and sizes using appearance matching. In the learning stage, for a sample object to be learned, a set of images is obtained by varying pose and size. This large image set is compactly represented by a manifold in compressed subspace spanned by eigenvectors of the image set. This representation is called the parametric eigenspace… CONTINUE READING

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