A modified feature point descriptor based on binary robust independent elementary features
| Autor: | Fengquan Zhang, Feng Ye, Zhitong Su |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Feature (computer vision)
business.industry Orientation (computer vision) Robustness (computer science) Feature extraction Kanade–Lucas–Tomasi feature tracker Scale-invariant feature transform Binary number Pattern recognition Artificial intelligence business Mathematics Feature detection (computer vision) |
| Zdroj: | 2014 7th International Congress on Image and Signal Processing. |
| DOI: | 10.1109/cisp.2014.7003788 |
| Popis: | We present a modified feature point descriptor (M-BRIEF) based on Binary Robust Independent Elementary Features (BRIEF). BRIEF is much faster both to build and to match than SIFT and SURF, and it yields a better recognition as well. However, the matching results are not robust when the viewpoint changes obviously. In our paper, M-BRIEF automatically adjusts the coordinates of the image patch according to the main orientation of the feature point, and presents a new method for testing definition by introducing the adaptive threshold. The results show that the method is much robust in case of the obvious changes of the viewpoint. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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