摘要
大场景视频拼接技术被广泛地应用于不同的领域,其应用要求精度高,实时性好。在对频域相关法、基于SIFT的图像拼接算法等方法进行深入研究的基础上,对其在配准精度、速度等方面进行改进与融合,提出一种具有高拼接性能、适应实时性拼接需求的F-SIFT图像拼接算法。该算法结合基于区域的图像配准方法和基于特征的SIFT两者优势,采用基于子图像块的频域相位相关算法,兼顾FFT的快速运算特点,提高图像拼接算法运算速度。实验对算法进行测试,验证F-SIFT算法的有效性。
Large field video mosaic are widely used in different fields, it is required that mosaic is characteristic of high precision and good real- time. Based on deep researches of frequency- dependent method and SIFT image mosaic method, registration precision and speed is improved and merged. An F-SIFT image mosaic algorithm with high mosaicing and real- time performance was introduced. This algorithm incorporated the merits of the area- based image registration and feature- based SIFT, adopted phase correlation methods based on sub- blocks, which takes into account the characteristic of FFT quick calculation in order to speed the image mosaic algorithm. The effectiveness of algorithm was evaluated by the experimental results.
出处
《红外与激光工程》
EI
CSCD
北大核心
2013年第S02期440-444,共5页
Infrared and Laser Engineering
基金
国家自然科学基金青年科学基金(61202431)
高等学校博士学科点专项科研基金(20110009110001)
中央高校基本科研业务费专项资金(2013JBM008)
教育部留学回国人员科研启动基金
关键词
视频拼接
图像拼接
图像配准
尺度不变特征变换
傅里叶变换
video mosaic image mosaic image registration scale invariant feature transform （SIFT） Fourier transform
