Multidimensional Indexing for Recognizing Visual Shapes

@article{Califano1994MultidimensionalIF,
  title={Multidimensional Indexing for Recognizing Visual Shapes},
  author={Andrea Califano and Rakesh Mohan},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1994},
  volume={16},
  pages={373-392}
}
This paper introduces an analytical framework for studying some properties of model acquisition and recognition techniques based on indexing. The goal is to demonstrate that several problems previously associated with the approach can be attributed to the low dimensionality of invariants used. These include limited index selectivity, excessive accumulation of votes in the look-up table buckets, and excessive sensitivity to quantization parameters. Theoretical results demonstrate that using high… CONTINUE READING
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
111 Citations
22 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 111 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 22 references

On a scalable parallel implementation of geometric hashing on the connection machine,

  • I . Rigoutsos, R. Hummel
  • Courant Inst. of Math. Science,
  • 1991

The combinatorics of heuristic search termination for object recognition in cluttered environments,” Massachusetts Institute of Technology, Cambridge, MIT AI Memo 1 I I I

  • W.E.L. Crimson
  • 1989

1431 Y

  • Dec.
  • Lamdan and H. J. Wolfson, “On the error analysis…
  • 1988

Recognizing and locating partially visible objects: The local feature focus approach,

  • R. C. Bolles, R. A. Cain
  • Int. J. Robotics Reseurch. vol. I
  • 1987

Similar Papers

Loading similar papers…