A region-based shape descriptor using Zernike moments
By Whoiyul Kim, Yong-Sung Kim. Signal processing. Image communication, 2000
405 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/102066a3cfe203cf999513087dc506ce1b59d950
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In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Deconvolution methods for 3-D fluorescence microscopy images (2006, background): “These polynomials are orthogonal, and thus it is easy to find expansion coefficients that best approximate a known phase function [13], [14].”
- Review of shape representation and description techniques (2004, background): “Shape description using Zernike moments proves to be very promising [87,88].”
- 3-D Object Retrieval and Recognition With Hypergraph Analysis (2012, background): “This feature has been widely applied to 3-D object retrieval and recognition in existing work [25], [33], [55] because of its robustness to image translation, scaling, and rotation.”