一种基于扇形区域分割的SIFT特征描述符

曾峦; 顾大龙

doi:10.3724/SP.J.1004.2012.01513

一种基于扇形区域分割的SIFT特征描述符

doi: 10.3724/SP.J.1004.2012.01513

曾峦^1,2,,
顾大龙²

1.
哈尔滨工业大学超精密光电仪器工程研究所哈尔滨 150080;
2.
装备指挥技术学院北京 101416

详细信息

通讯作者:
曾峦

计量
- 文章访问数: 1920
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- 被引次数: 0
出版历程
- 收稿日期: 2011-05-03
- 修回日期: 2011-09-14
- 刊出日期: 2012-09-20

A SIFT Feature Descriptor Based on Sector Area Partitioning

ZENG Luan^{1,2
,},
GU Da-Long²

1.
Institute of Ultra-precision Optical and Electronic Instrument Engineering, Harbin Institute of Technology, Harbin 150080;
2.
Academy of Equipment Command and Technology, Beijing 101416

摘要

摘要: 提出了一种在圆形区域内基于扇形区域分割的特征描述符构建方法. 首先, 针对SIFT描述符维数过高, 导致匹配速度慢的弱点, 提出在半径为9像素的圆形特征区域内划分为8个扇区, 在这些扇形特征邻域内统计8个方向的灰度梯度直方图, 形成64维描述符的方法,降低了描述符的维数. 同时, 针对SIFT构建描述符的运算复杂性较高的事实, 提出在圆形区域内计算像素灰度梯度主方向, 以主方向为基准点把该区域划分为8个等面积扇区的方法, 取消了对特征区域的旋转变换, 降低了构建描述符的运算复杂性. 通过与OpenCV SIFT和Lowe SIFT进行多方面对比实验, 结果表明该方法的综合匹配速度具有显著提升, 在两幅图像存在一定程度的视点、模糊、旋转、比例、光照变化等情形下, 匹配性能有所增强.
- 机器视觉 /
- 特征描述符 /
- 图像匹配 /
- SIFT
Abstract: This paper presents a new method of constructing feature descriptor based on sector area partitioning in a circular region. The large dimension of descriptor will decrease the matching speed of SIFT algorithm. In order to solve the problem, we partition a circular region whose radius is nine pixels into eight bins in angular direction. By computing the gradient orientation histogram in the eight directions for each bin, a descriptor with 64 dimensions is constituted. Therefore, the dimension of the descriptor is reduced. Meanwhile, based on the fact that computation of constructing SIFT descriptor is complex, we introduce a strategy that computes the dominate orientation of pixel gray gradients in the circular region, and then partitions the circular region into eight identical sector areas starting from the dominate orientation. Consequently, the computational complexity is reduced due to cancellation of rotation operation. By comprehensive comparison with the OpenCV SIFT and Lowe SIFT, the results indicate that the proposed method can increase the average matching speed significantly. Even if there exist affine distortion, defocusing, rotation, scaling or illumination variation, the matching performance can also be improved.
- Machine vision /
- feature descriptor /
- image matching /
- SIFT

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参考文献(1)

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