Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization

By Farzin Mokhtarian, M. Bober. Computational Imaging and Vision, 2011

299 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/85cdc0ade1f629a196859e9d7b26091cd23ce501

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Ronen Basri
2. Meirav Galun
3. Tal Hassner

In Computer Vision and Pattern Recognition

1. Achi Brandt
2. Meirav Galun
3. Luc Van Gool
4. Jitendra Malik
5. Ming-Hsuan Yang
6. Ronen Basri
7. Eitan Sharon
8. Lena Gorelick

Citations in the corpus

• Learning Context-Sensitive Shape Similarity by Graph Transduction (2010, unknown): “Context Model CSS [40] [4] [1] [41] [42] [43] [44] [45] [2] [46] Score 75.”
• Shape representation and classification using the Poisson equation (2004, methodology): “In the retreival test, we further compare the performance of the Poisson-based shape descriptor with that of the contour-based and region-based shape descriptors adopted by the MPEG-7 International Standards, namely, the curvature scale space descriptor (CSSD) [40], [19] and the Angular Radial Trans”
• View-invariant motion trajectory-based activity classification and recognition (2006, background): “Noise amplifies only the small peaks, with no effect on the location or scale of the feature contour maxima [28].”