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A Kind of Affine Weighted Moment Invariants
June 05, 2017 Β· Declared Dead Β· π Chinese Conference on Computer Vision
"No code URL or promise found in abstract"
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Authors
Hanlin Mo, You Hao, Shirui Li, Hua Li
arXiv ID
1706.01209
Category
cs.CV: Computer Vision
Citations
1
Venue
Chinese Conference on Computer Vision
Last Checked
4 months ago
Abstract
A new kind of geometric invariants is proposed in this paper, which is called affine weighted moment invariant (AWMI). By combination of local affine differential invariants and a framework of global integral, they can more effectively extract features of images and help to increase the number of low-order invariants and to decrease the calculating cost. The experimental results show that AWMIs have good stability and distinguishability and achieve better results in image retrieval than traditional moment invariants. An extension to 3D is straightforward.
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