Electronics Letters · 2010 · 41 citations · 4 references
ComputingComputer ScienceComputer VisionFeature EngineeringMachine VisionDigital Image ProcessingFeature DetectionFeature TransformationImage PreprocessingImage ProcessingPattern RecognitionFeature MatchingMatchingScale-invariant Feature DetectionScale-invariant Feature TransformScale-invariant Feature Transform (Sift)Scale-invariant Matching
When directly applied to images with different scales, scale invariant feature transform (SIFT) matching performance decreases significantly. In this reported work, this phenomenon is demonstrated and a simple method to increase the performance of SIFT matching is proposed. The proposed method includes preprocessing the images before matching and is compared to previously proposed solutions which only eliminate false matches.
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Multi-spectral remote image registration based on SIFT
Zhiqian Yi, Cheng Zhiguo, Xingrui Yang · Electronics Letters · 2008 · 210 citations
Improved SIFT-Features Matching for Object Recognition
Faraj Alhwarin, Chao Wang, Danijela Ristić–Durrant et al. · Electronic workshops in computing · 2008 · 83 citations · Full text