Retrieving Images by 2D Shape: A Comparison of Computation Methods with Human Perceptual Judgments

  title={Retrieving Images by 2D Shape: A Comparison of Computation Methods with Human Perceptual Judgments},
  author={Brian Scassellati and Sophoclis Alexopoulos and Myron Flickner},
  booktitle={Storage and Retrieval for Image and Video Databases},
In content based image retrieval, systems allow users to ask for objects similar in shape to a query object. However, there is no clear understanding of how computational shape similarity corresponds to human shape similarity. In this paper several shape similarity measures were evaluated on planar, connected, non-occluded binary shapes. Shape similarity using algebraic moments, spline curve distances, cumulative turning angle, sign of curvature and Hausdorff-distance were compared to human… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 62 extracted citations

Computational Intelligence for Multimedia Understanding

Lecture Notes in Computer Science • 2011
View 10 Excerpts
Highly Influenced

Lectures on Information Retrieval

Lecture Notes in Computer Science • 2001
View 6 Excerpts
Highly Influenced

Image Retrieval : past , Present , And

FUTUREYong, Rui, Strganac Thomas, HuangDept
View 14 Excerpts
Highly Influenced

Image Retrieval: Current Techniques, Promising Directions, and Open Issues

J. Visual Communication and Image Representation • 1999
View 13 Excerpts
Highly Influenced


Publications referenced by this paper.
Showing 1-10 of 13 references

Cooper . Recognition and positioning of rigid objects using algebraic moment invariants

Gabriel Taubin, B. David
Geometric Methods in Computer Vision • 1991

Mathematical theories of shape: Do they model perception

David Mumford
In Geometric Methods in Computer Vision, • 1991
View 2 Excerpts

Similar Papers

Loading similar papers…