Location of Repository

2D Shape Classification and Retrieval

By Graham McNeill and Sethu Vijayakumar


We present a novel correspondence-based technique for efficient shape classification and retrieval. Shape boundaries are described by a set of (ad hoc) equally spaced points avoiding the need to extract landmark points. By formulating the correspondence problem in terms of a simple generative mode

Topics: shape classification
Publisher: Professional Book Center
Year: 2010
OAI identifier: oai:www.era.lib.ed.ac.uk:1842/3691

Suggested articles



  1. (1991). A shape recognition scheme based on relative distances of feature points from the centroid. doi
  2. (2004). Fast correspondence-based system for shape-retrieval. doi
  3. (1996). Landmark methods for forms without landmarks: morphometrics of group differences in outline shape. doi
  4. (2004). Matching problems for unlabelled conīŦgurations.
  5. (2003). Multiscale fourier de scriptor for shape-based imageretrieval. doi
  6. (1979). Multivariate Analysis. doi
  7. (2003). Object representation and recognition in shape spaces. doi
  8. (2004). Shape correspondence through landmark sliding. doi
  9. (2000). Shape descriptors for non-rigid shapes with a single closed contour. doi
  10. (2002). Shape matching and object recognition using shape contexts. doi
  11. (1998). Statistical Shape Analysis. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.