Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations

@article{Kelman2007KeypointDF,
  title={Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations},
  author={Avi Kelman and Michal Sofka and Charles V. Stewart},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-7}
}
In this paper, we investigate the effect of substantial inter-image intensity changes and changes in modality on the performance of keypoint detection, description, and matching algorithms in the context of image registration. In doing so, we modify widely-used keypoint descriptors such as SIFT and shape contexts, attempting to capture the insight that some structural information is indeed preserved between images despite dramatic appearance changes. These extensions include (a) pairing… CONTINUE READING
Highly Cited
This paper has 62 citations. REVIEW CITATIONS

7 Figures & Tables

Topics

Statistics

0102020082009201020112012201320142015201620172018
Citations per Year

63 Citations

Semantic Scholar estimates that this publication has 63 citations based on the available data.

See our FAQ for additional information.