JOURNAL ARTICLE

Image matching with SIFT descriptor on affine normalized MSERs

Abstract

In this paper, we devise a method for introducing affine invariance into the SIFT algorithm considering the addition of affine invariance property to the efficient SIFT algorithm for image matching. An intermediate step of detecting MSER in Comparison of matching performance was performed with reference to original SIFT algorithm. Other deciding factors such as execution time, number of detected interest points, resolution of the original and target images were also provided for comprehensive comparison. Conclusions are drawn based on the observed results and possible factors are considered for any improvement.

Keywords:
Scale-invariant feature transform Affine transformation Matching (statistics) Artificial intelligence Computer science Image (mathematics) Image matching Pattern recognition (psychology) Computer vision Harris affine region detector Property (philosophy) Algorithm Mathematics Affine shape adaptation Affine combination Statistics

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0.56
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Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering

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