A Method of Features Extraction Based on Fisheye Image
| Autor: | Ying Kui Jiao, Bao Feng Zhang, Zhi Jun Ma, Jun Chao Zhu, Yong Chen Li |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
business.industry
Scale-invariant feature transform Pattern recognition General Medicine Image plane Convolution symbols.namesake Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition Gaussian function symbols Computer vision Artificial intelligence business Projection (set theory) Map projection Mathematics Feature detection (computer vision) |
| Zdroj: | Applied Mechanics and Materials. :1029-1032 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.668-669.1029 |
| Popis: | In this paper, feature extraction algorithm based on spherical perspective projection model for the matching fisheye image is proposed. The fisheye image is mapped to the image plane through spherical mapping. Then the diffusion equation is formed by convolution of the image projection and spherical Gaussian function. The feature points of image are extracted based on the SIFT at the scale of spherical correlation function. Compared with SURF(Speeded Up Robust Features), more feature points in a shorter time are obtained. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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